Method and apparatus for video signal processing determining reference sample lines for a prediction target sample

ABSTRACT

According to the present invention, there is provided a method of decoding an image, the method including: determining an intra prediction mode of a current block; determining a reference sample line for a prediction target sample included in the current block; and obtaining a prediction value of the prediction target sample on the basis of the intra prediction mode and the reference sample line.

TECHNICAL FIELD

The present invention relates to a method and an apparatus forprocessing video signal.

BACKGROUND ART

Recently, demands for high-resolution and high-quality images such ashigh definition (HD) images and ultra-high definition (UHD) images haveincreased in various application fields. However, higher resolution andquality image data has increasing amounts of data in comparison withconventional image data. Therefore, when transmitting image data byusing a medium such as conventional wired and wireless broadbandnetworks, or when storing image data by using a conventional storagemedium, costs of transmitting and storing increase. In order to solvethese problems occurring with an increase in resolution and quality ofimage data, high-efficiency image encoding/decoding techniques may beutilized.

Image compression technology includes various techniques, including : aninter prediction technique of predicting a pixel value included in acurrent picture from a previous or subsequent picture of the currentpicture; an intra prediction technique of predicting a pixel valueincluded in a current picture by using pixel information in the currentpicture; an entropy encoding technique of assigning a short code to avalue with a high appearance frequency and assigning a long code to avalue with a low appearance frequency; and the like. Image data may beeffectively compressed by using such image compression technology, andmay be transmitted or stored.

In the meantime, with demands for high-resolution images, demands forstereographic image content, which is a new image service, have alsoincreased. A video compression technique for effectively providingstereographic image content with high resolution and ultra-highresolution is being discussed.

DISCLOSURE Technical Problem

An object of the present invention is intended to provide a method andan apparatus for efficiently performing intra prediction for anencoding/decoding target block in encoding/decoding a video signal.

An object of the present invention is intended to provide a method andan apparatus for performing intra prediction using a plurality ofreference samples in encoding/decoding a video signal.

An object of the present invention is intended to provide a method andan apparatus for performing intra prediction using right and bottomreference samples.

An object of the present invention is to provide a method and anapparatus for performing intra prediction using at least one of multiplereference sample lines in encoding/decoding a video signal.

An object of the present invention is to provide a method and anapparatus for constructing multiple reference samples on the basis ofreference samples adjacent to the left/right, and the upper/lower partof a current block in encoding/decoding a video signal.

The technical objects to be achieved by the present invention are notlimited to the above-mentioned technical problems. And, other technicalproblems that are not mentioned will be apparently understood to thoseskilled in the art from the following description.

Technical Solution

According to the present invention, there is provided a method and anapparatus for decoding a video signal, wherein an intra prediction modeof a current block is determined, a reference sample line for aprediction target sample included in the current block is determined,and a prediction value of the prediction target sample is acquired onthe basis of the intra prediction mode and the reference sample line.

According to the present invention, there is provided a method and anapparatus for encoding a video signal, wherein an intra prediction modeof a current block is determined, a reference sample line for aprediction target sample included in the current block is determined,and a prediction value of the prediction target sample is acquired onthe basis of the intra prediction mode and the reference sample line.

In the method and the apparatus for encoding/decoding the video signalaccording to the present invention, the determining of the referencesample line may be performed on the basis of a position of theprediction target sample or whether the prediction target sample isincluded in a predetermined region.

In the method and the apparatus for encoding/decoding the video signalaccording to the present invention, the determining of the referencesample line may be performed on the basis of a result of comparing adistance from the position of the prediction target sample to a firstreference sample included in a first reference sample line, and adistance from the position of the prediction target sample to a secondreference sample included in a second reference sample line.

In the method and the apparatus for encoding/decoding the video signalaccording to the present invention, the first reference sample and thesecond reference sample may be determined on the basis of the intraprediction mode.

In the method and the apparatus for encoding/decoding the video signalaccording to the present invention, the first reference sample line mayinclude a top reference sample included in a row adjacent to a top ofthe current block, and a left reference sample included in a columnadjacent to a left side of the current block, and the second referencesample line may include a right reference sample included in a columnadjacent to a right side of the current block, and a bottom referencesample included in a row adjacent to a bottom of the current block.

In the method and the apparatus for encoding/decoding the video signalaccording to the present invention, the prediction value may becalculated on the basis of a weighted sum operation or an averageoperation between a first reference sample included in a first referencesample line and a second reference sample included in a second referencesample line.

In the method and the apparatus for encoding/decoding the video signalaccording to the present invention, weights applied to a first referencesample and a second reference sample, respectively, may be determined onthe basis of a distance to the prediction target sample.

In the method and the apparatus for encoding/decoding the video signalaccording to the present invention, weights applied to a first referencesample and a second reference sample, respectively, may be determined onthe basis of a distance to the prediction target sample.

In the method and the apparatus for encoding/decoding the video signalaccording to the present invention, the determining of the referencesample line may include determining whether to use multiple referencesample lines.

It is to be understood that the foregoing summarized features areexemplary aspects of the following detailed description of the presentinvention without limiting the scope of the present invention.

Advantageous Effects

According to the present invention, an efficient intra prediction may beperformed for an encoding/decoding target block.

According to the present invention, there is an advantage of increasingthe efficiency of intra prediction by performing intra prediction usinga plurality of reference samples that is not adjacent to each other.

According to the present invention, there is an advantage that theefficiency of intra prediction can be improved by using the right andbottom reference samples.

According to the present invention, the efficiency of intra predictionmay be increased by selecting and using at least one of multiplereference sample lines.

According to the present invention, a reference sample line isconstructed using reference samples adjacent to the left side/top of thecurrent block as well as reference samples adjacent to the rightside/bottom of the current block, thereby increasing the efficiency ofintra prediction.

The effects obtainable by the present invention are not limited to theabove-mentioned effects, and other effects not mentioned can be clearlyunderstood by those skilled in the art from the description below.

DESCRIPTION OF DRAWINGS

FIG. 1 is a block diagram illustrating a device for encoding a videoaccording to an embodiment of the present invention.

FIG. 2 is a block diagram illustrating a device for decoding a videoaccording to an embodiment of the present invention.

FIG. 3 is a diagram illustrating an example of hierarchicallypartitioning a coding block based on a tree structure according to anembodiment of the present invention.

FIG. 4 is a diagram illustrating a partition type in which binarytree-based partitioning is allowed according to an embodiment of thepresent invention.

FIGS. 5A and 5B are diagrams illustrating an example in which only abinary tree-based partition of a pre-determined type is allowedaccording to an embodiment of the present invention.

FIG. 6 is a diagram for explaining an example in which informationrelated to the allowable number of binary tree partitioning isencoded/decoded, according to an embodiment to which the presentinvention is applied.

FIG. 7 is a diagram illustrating a partition mode applicable to a codingblock according to an embodiment of the present invention.

FIG. 8 is a diagram illustrating types of pre-defined intra predictionmodes for a device for encoding/decoding a video according to anembodiment of the present invention.

FIG. 9 is a diagram illustrating a kind of extended intra predictionmodes according to an embodiment of the present invention.

FIG. 10 is a flowchart briefly illustrating an intra prediction methodaccording to an embodiment of the present invention.

FIG. 11 is a diagram illustrating an example of multiple referencesample lines.

FIG. 12 is a diagram illustrating a method of correcting a predictionsample of a current block based on differential information ofneighboring samples according to an embodiment of the present invention.

FIGS. 13 and 14 are diagrams illustrating a one-dimensional referencesample group in which reference samples are rearranged in a line.

FIGS. 15A and 15B are diagrams illustrating an example of deriving aright reference sample or a bottom reference sample using a plurality ofreference samples.

FIGS. 16 and 17 are diagrams illustrating an example of deriving a rightreference sample and a bottom reference sample for a non-square blockaccording to an embodiment of the present invention.

FIGS. 18A and 18B are diagrams illustrating an example of multiplereference sample lines.

FIG. 19 is a diagram illustrating an example of deriving at least onesecond reference sample by using a first reference sample.

FIGS. 20A and 20B are diagrams illustrating an example of a region inwhich bi-directional intra prediction is applied.

FIG. 21 is a diagram illustrating an example of a directional predictionmode indicated distinguishably in which bi-directional intra predictionis allowed.

FIG. 22 is a diagram illustrating an example in which a reference sampleline is determined according to a position of a prediction targetsample.

FIG. 23 is a diagram illustrating an example in which the number ofreference sample lines is determined according to a position of aprediction target sample.

MODE FOR INVENTION

A variety of modifications may be made to the present invention andthere are various embodiments of the present invention, examples ofwhich will now be provided with reference to drawings and described indetail. However, the present invention is not limited thereto, and theexemplary embodiments can be construed as including all modifications,equivalents, or substitutes in a technical concept and a technical scopeof the present invention. The similar reference numerals refer to thesimilar element in described the drawings.

Terms used in the specification, ‘first’, ‘second’, etc. can be used todescribe various components, but the components are not to be construedas being limited to the terms. The terms are only used to differentiateone component from other components. For example, the ‘first’ componentmay be named the ‘second’ component without departing from the scope ofthe present invention, and the ‘second’ component may also be similarlynamed the ‘first’ component. The term ‘and/or’ includes a combination ofa plurality of items or any one of a plurality of terms.

It will be understood that when an element is simply referred to asbeing ‘connected to’ or ‘coupled to’ another element without being‘directly connected to’ or ‘directly coupled to’ another element in thepresent description, it may be ‘directly connected to’ or ‘directlycoupled to’ another element or be connected to or coupled to anotherelement, having the other element intervening therebetween. In contrast,it should be understood that when an element is referred to as being“directly coupled” or “directly connected” to another element, there areno intervening elements present.

The terms used in the present specification are merely used to describeparticular embodiments, and are not intended to limit the presentinvention. An expression used in the singular encompasses the expressionof the plural, unless it has a clearly different meaning in the context.In the present specification, it is to be understood that terms such as“including”, “having”, etc. are intended to indicate the existence ofthe features, numbers, steps, actions, elements, parts, or combinationsthereof disclosed in the specification, and are not intended to precludethe possibility that one or more other features, numbers, steps,actions, elements, parts, or combinations thereof may exist or may beadded.

Hereinafter, preferred embodiments of the present invention will bedescribed in detail with reference to the accompanying drawings.Hereinafter, the same constituent elements in the drawings are denotedby the same reference numerals, and a repeated description of the sameelements will be omitted.

FIG. 1 is a block diagram illustrating a device for encoding a videoaccording to an embodiment of the present invention.

Referring to FIG. 1 , the device 100 for encoding a video may include: apicture partitioning module 110, prediction modules 120 and 125, atransform module 130, a quantization module 135, a rearrangement module160, an entropy encoding module 165, an inverse quantization module 140,an inverse transform module 145, a filter module 150, and a memory 155.

The constitutional parts shown in FIG. 1 are independently shown so asto represent characteristic functions different from each other in thedevice for encoding a video, and does not mean that each constitutionalpart is constituted in a constitutional unit of separated hardware orsoftware. In other words, each constitutional part includes each ofenumerated constitutional parts for convenience. Thus, at least twoconstitutional parts of each constitutional part may be combined to formone constitutional part or one constitutional part may be partitionedinto a plurality of constitutional parts to perform each function. Theembodiment where each constitutional part is combined and the embodimentwhere one constitutional part is partitioned are also included in thescope of the present invention, if not departing from the essence of thepresent invention.

Also, some of constituents may not be indispensable constituentsperforming essential functions of the present invention but be selectiveconstituents improving only performance thereof. The present inventionmay be implemented by including only the indispensable constitutionalparts for implementing the essence of the present invention except theconstituents used in improving performance. The structure including onlythe indispensable constituents except the selective constituents used inimproving only performance is also included in the scope of the presentinvention.

The picture partitioning module 110 may partition an input picture intoone or more processing units. Here, the processing unit may be aprediction unit (PU), a transform unit (TU), or a coding unit (CU). Thepicture partitioning module 110 may partition one picture intocombinations of a plurality of coding units, prediction units, andtransform units, and may encode a picture by selecting one combinationof coding units, prediction units, and transform units with apredetermined criterion (e.g., cost function).

For example, one picture may be partitioned into a plurality of codingunits. A recursive tree structure, such as a quad tree structure, may beused to partition a picture into coding units. A coding unit which ispartitioned into other coding units with one picture or a largest codingunit as a root may be partitioned with child nodes corresponding to thenumber of partitioned coding units. A coding unit which is no longerpartitioned by a predetermined limitation serves as a leaf node. Thatis, when it is assumed that only square partitioning is possible for onecoding unit, one coding unit may be partitioned into four other codingunits at most.

Hereinafter, in the embodiment of the present invention, the coding unitmay mean a unit performing encoding, or a unit performing decoding.

A prediction unit may be one of partitions partitioned into a square ora rectangular shape having the same size in a single coding unit, or aprediction unit may be one of partitions partitioned so that oneprediction unit of prediction units partitioned in a single coding unithave a different shape and/or size from other prediction unit.

When a prediction unit performing intra prediction based on a codingunit is generated and the coding unit is not the smallest coding unit,intra prediction may be performed without partitioning the coding unitinto a plurality of prediction units N×N.

The prediction modules 120 and 125 may include an inter predictionmodule 120 performing inter prediction and an intra prediction module125 performing intra prediction. Whether to perform inter prediction orintra prediction for the prediction unit may be determined, and detailedinformation (e.g., an intra prediction mode, a motion vector, areference picture, etc.) according to each prediction method may bedetermined. Here, the processing unit performing prediction may bedifferent from the processing unit for which the prediction method anddetailed content is determined. For example, the prediction method, theprediction mode, etc. may be determined on the basis of the predictionunit, and prediction may be performed on the basis of the transformunit. A residual value (residual block) between the generated predictionblock and an original block may be input to the transform module 130.Also, prediction mode information, motion vector information, etc. usedfor prediction may be encoded with the residual value in the entropyencoding module 165 and may be transmitted to a device for decoding avideo. When a particular encoding mode is used, it is possible totransmit to a device for decoding video by encoding the original blockas it is without generating the prediction block through the predictionmodules 120 and 125.

The inter prediction module 120 may predict the prediction unit based oninformation of at least one of a previous picture or a subsequentpicture of the current picture, or may predict the prediction unit basedon information of some encoded regions in the current picture, in somecases. The inter prediction module 120 may include a reference pictureinterpolation module, a motion prediction module, and a motioncompensation module.

The reference picture interpolation module may receive reference pictureinformation from the memory 155 and may generate pixel information of aninteger pixel or less then the integer pixel from the reference picture.In the case of luma pixels, an 8-tap DCT-based interpolation filterhaving different filter coefficients may be used to generate pixelinformation of an integer pixel or less than an integer pixel on thebasis of a ¼ pixel. In the case of chroma signals, a 4-tap DCT-basedinterpolation filter having different filter coefficient may be used togenerate pixel information of an integer pixel or less than an integerpixel on the basis of a ⅛ pixel.

The motion prediction module may perform motion prediction based on thereference picture interpolated by the reference picture interpolationmodule. As methods for calculating a motion vector, various methods,such as a full search-based block matching algorithm (FBMA), a threestep search (TSS), a new three-step search algorithm (NTS), etc., may beused. The motion vector may have a motion vector value on the basis of a½ pixel or a ¼ pixel based on an interpolated pixel. The motionprediction module may predict a current prediction unit by changing themotion prediction method. As motion prediction methods, various methods,such as a skip method, a merge method, an AMVP (Advanced Motion VectorPrediction) method, an intra block copy method, etc., may be used.

The intra prediction module 125 may generate a prediction unit based onreference pixel information neighboring to a current block which ispixel information in the current picture. When the neighboring block ofthe current prediction unit is a block subjected to inter prediction andthus a reference pixel is a pixel subjected to inter prediction, thereference pixel included in the block subjected to inter prediction maybe replaced with reference pixel information of a neighboring blocksubjected to intra prediction. That is, when a reference pixel is notavailable, at least one reference pixel of available reference pixelsmay be used instead of unavailable reference pixel information.

Prediction modes in intra prediction may include a directionalprediction mode using reference pixel information depending on aprediction direction and a non-directional prediction mode not usingdirectional information in performing prediction. A mode for predictingluma information may be different from a mode for predicting chromainformation, and in order to predict the chroma information, intraprediction mode information used to predict luma information orpredicted luma signal information may be utilized.

In performing intra prediction, when a size of the prediction unit isthe same as a size of the transform unit, intra prediction may beperformed on the prediction unit based on pixels positioned at the left,the top left, and the top of the prediction unit. However, in performingintra prediction, when the size of the prediction unit is different fromthe size of the transform unit, intra prediction may be performed usinga reference pixel based on the transform unit. Also, intra predictionusing N×N partitioning may be used for only the smallest coding unit.

In the intra prediction method, a prediction block may be generatedafter applying an AIS (Adaptive Intra Smoothing) filter to a referencepixel depending on the prediction modes. A type of the AIS filterapplied to the reference pixel may vary. In order to perform the intraprediction method, an intra prediction mode of the current predictionunit may be predicted from the intra prediction mode of the predictionunit neighboring to the current prediction unit. In prediction of theprediction mode of the current prediction unit by using mode informationpredicted from the neighboring prediction unit, when the intraprediction mode of the current prediction unit is the same as the intraprediction mode of the neighboring prediction unit, informationindicating that the prediction modes of the current prediction unit andthe neighboring prediction unit are equal to each other may betransmitted using predetermined flag information. When the predictionmode of the current prediction unit is different from the predictionmode of the neighboring prediction unit, entropy encoding may beperformed to encode prediction mode information of the current block.

Also, a residual block including information on a residual value whichis a different between the prediction unit subjected to prediction andthe original block of the prediction unit may be generated based onprediction units generated by the prediction modules 120 and 125. Thegenerated residual block may be input to the transform module 130.

The transform module 130 may transform the residual block including theinformation on the residual value between the original block and theprediction unit generated by the prediction modules 120 and 125 by usinga transform method, such as discrete cosine transform (DCT), discretesine transform (DST), and KLT. Whether to apply DCT, DST, or KLT inorder to transform the residual block may be determined based on intraprediction mode information of the prediction unit used to generate theresidual block.

The quantization module 135 may quantize values transformed to afrequency domain by the transform module 130. Quantization coefficientsmay vary depending on the block or importance of a picture. The valuescalculated by the quantization module 135 may be provided to the inversequantization module 140 and the rearrangement module 160.

The rearrangement module 160 may rearrange coefficients of quantizedresidual values.

The rearrangement module 160 may change a coefficient in the form of atwo-dimensional block into a coefficient in the form of aone-dimensional vector through a coefficient scanning method. Forexample, the rearrangement module 160 may scan from a DC coefficient toa coefficient in a high frequency domain using a zigzag scanning methodso as to change the coefficients to be in the form of one-dimensionalvectors. Depending on a size of the transform unit and the intraprediction mode, vertical direction scanning where coefficients in theform of two-dimensional blocks are scanned in the column direction orhorizontal direction scanning where coefficients in the form oftwo-dimensional blocks are scanned in the row direction may be usedinstead of zigzag scanning. That is, which scanning method among zigzagscanning, vertical direction scanning, and horizontal direction scanningis used may be determined depending on the size of the transform unitand the intra prediction mode.

The entropy encoding module 165 may perform entropy encoding based onthe values calculated by the rearrangement module 160. Entropy encodingmay use various encoding methods, for example, exponential Golombcoding, context-adaptive variable length coding (CAVLC), andcontext-adaptive binary arithmetic coding (CABAC).

The entropy encoding module 165 may encode a variety of information,such as residual value coefficient information and block typeinformation of the coding unit, prediction mode information, partitionunit information, prediction unit information, transform unitinformation, motion vector information, reference frame information,block interpolation information, filtering information, etc. from therearrangement module 160 and the prediction modules 120 and 125.

The entropy encoding module 165 may entropy encode the coefficients ofthe coding unit input from the rearrangement module 160.

The inverse quantization module 140 may inversely quantize the valuesquantized by the quantization module 135 and the inverse transformmodule 145 may inversely transform the values transformed by thetransform module 130. The residual value generated by the inversequantization module 140 and the inverse transform module 145 may becombined with the prediction unit predicted by a motion estimationmodule, a motion compensation module, and the intra prediction module ofthe prediction modules 120 and 125 such that a reconstructed block canbe generated.

The filter module 150 may include at least one of a deblocking filter,an offset correction unit, or an adaptive loop filter (ALF).

The deblocking filter may remove block distortion that occurs due toboundaries between the blocks in the reconstructed picture. In order todetermine whether to perform deblocking, the pixels included in severalrows or columns in the block may be a basis of determining whether toapply the deblocking filter to the current block. When the deblockingfilter is applied to the block, a strong filter or a weak filter may beapplied depending on required deblocking filtering strength. Also, inapplying the deblocking filter, horizontal direction filtering andvertical direction filtering may be processed in parallel.

The offset correction module may correct offset with the originalpicture on the basis of a pixel in the picture subjected to deblocking.In order to perform the offset correction on a particular picture, it ispossible to use a method of applying offset in consideration of edgeinformation of each pixel or a method of partitioning pixels of apicture into the predetermined number of regions, determining a regionto be subjected to perform offset, and applying the offset to thedetermined region.

Adaptive loop filtering (ALF) may be performed based on the valueobtained by comparing the filtered reconstructed picture and theoriginal picture. The pixels included in the picture may be partitionedinto predetermined groups, a filter to be applied to each of the groupsmay be determined, and filtering may be individually performed for eachgroup. Information on whether to apply ALF and a luma signal may betransmitted by coding units (CU). The shape and filter coefficient of afilter for ALF may vary depending on each block. Also, the filter forALF in the same shape (fixed shape) may be applied regardless ofcharacteristics of the application target block.

The memory 155 may store the reconstructed block or picture calculatedthrough the filter module 150. The stored reconstructed block or picturemay be provided to the prediction modules 120 and 125 in performinginter prediction.

FIG. 2 is a block diagram illustrating a device for decoding a videoaccording to an embodiment of the present invention.

Referring to FIG. 2 , the device 200 for decoding a video may include:an entropy decoding module 210, a rearrangement module 215, an inversequantization module 220, an inverse transform module 225, predictionmodules 230 and 235, a filter module 240, and a memory 245.

When a video bitstream is input from the device for encoding a video,the input bitstream may be decoded according to an inverse process ofthe device for encoding a video.

The entropy decoding module 210 may perform entropy decoding accordingto an inverse process of entropy encoding by the entropy encoding moduleof the device for encoding a video. For example, corresponding to themethods performed by the device for encoding a video, various methods,such as exponential Golomb coding, context-adaptive variable lengthcoding (CAVLC), and context-adaptive binary arithmetic coding (CABAC)may be applied.

The entropy decoding module 210 may decode information on intraprediction and inter prediction performed by the device for encoding avideo.

The rearrangement module 215 may perform rearrangement on the bitstreamentropy decoded by the entropy decoding module 210 based on therearrangement method used in the device for encoding a video. Therearrangement module may reconstruct and rearrange the coefficients inthe form of one-dimensional vectors to the coefficient in the form oftwo-dimensional blocks. The rearrangement module 215 may receiveinformation related to coefficient scanning performed in the device forencoding a video and may perform rearrangement via a method of inverselyscanning the coefficients based on the scanning order performed in thedevice for encoding a video.

The inverse quantization module 220 may perform inverse quantizationbased on a quantization parameter received from the device for encodinga video and the rearranged coefficients of the block.

The inverse transform module 225 may perform the inverse transform,i.e., inverse DCT, inverse DST, and inverse KLT, which is the inverseprocess of transform, i.e., DCT, DST, and KLT, performed by thetransform module on the quantization result by the device for encoding avideo. Inverse transform may be performed based on a transfer unitdetermined by the device for encoding a video. The inverse transformmodule 225 of the device for decoding a video may selectively performtransform schemes (e.g., DCT, DST, and KLT) depending on a plurality ofpieces of information, such as the prediction method, a size of thecurrent block, the prediction direction, etc.

The prediction modules 230 and 235 may generate a prediction block basedon information on prediction block generation received from the entropydecoding module 210 and previously decoded block or picture informationreceived from the memory 245.

As described above, like the operation of the device for encoding avideo, in performing intra prediction, when a size of the predictionunit is the same as a size of the transform unit, intra prediction maybe performed on the prediction unit based on the pixels positioned atthe left, the top left, and the top of the prediction unit. Inperforming intra prediction, when the size of the prediction unit isdifferent from the size of the transform unit, intra prediction may beperformed using a reference pixel based on the transform unit. Also,intra prediction using N×N partitioning may be used for only thesmallest coding unit.

The prediction modules 230 and 235 may include a prediction unitdetermination module, an inter prediction module, and an intraprediction module. The prediction unit determination module may receivea variety of information, such as prediction unit information,prediction mode information of an intra prediction method, informationon motion prediction of an inter prediction method, etc. from theentropy decoding module 210, may partition a current coding unit intoprediction units, and may determine whether inter prediction or intraprediction is performed on the prediction unit. By using informationrequired in inter prediction of the current prediction unit receivedfrom the device for encoding a video, the inter prediction module 230may perform inter prediction on the current prediction unit based oninformation of at least one of a previous picture or a subsequentpicture of the current picture including the current prediction unit.Alternatively, inter prediction may be performed based on information ofsome pre-reconstructed regions in the current picture including thecurrent prediction unit.

In order to perform inter prediction, it may be determined for thecoding unit which of a skip mode, a merge mode, an AMVP mode, and aninter block copy mode is used as the motion prediction method of theprediction unit included in the coding unit.

The intra prediction module 235 may generate a prediction block based onpixel information in the current picture. When the prediction unit is aprediction unit subjected to intra prediction, intra prediction may beperformed based on intra prediction mode information of the predictionunit received from the device for encoding a video. The intra predictionmodule 235 may include an adaptive intra smoothing (AIS) filter, areference pixel interpolation module, and a DC filter. The AIS filterperforms filtering on the reference pixel of the current block, andwhether to apply the filter may be determined depending on theprediction mode of the current prediction unit. AIS filtering may beperformed on the reference pixel of the current block by using theprediction mode of the prediction unit and AIS filter informationreceived from the device for encoding a video. When the prediction modeof the current block is a mode where AIS filtering is not performed, theAIS filter may not be applied.

When the prediction mode of the prediction unit is a prediction mode inwhich intra prediction is performed based on the pixel value obtained byinterpolating the reference pixel, the reference pixel interpolationmodule may interpolate the reference pixel to generate the referencepixel of an integer pixel or less than an integer pixel. When theprediction mode of the current prediction unit is a prediction mode inwhich a prediction block is generated without interpolation thereference pixel, the reference pixel may not be interpolated. The DCfilter may generate a prediction block through filtering when theprediction mode of the current block is a DC mode.

The reconstructed block or picture may be provided to the filter module240. The filter module 240 may include the deblocking filter, the offsetcorrection module, and the ALF.

Information on whether or not the deblocking filter is applied to thecorresponding block or picture and information on which of a strongfilter and a weak filter is applied when the deblocking filter isapplied may be received from the device for encoding a video. Thedeblocking filter of the device for decoding a video may receiveinformation on the deblocking filter from the device for encoding avideo, and may perform deblocking filtering on the corresponding block.

The offset correction module may perform offset correction on thereconstructed picture based on a type of offset correction and offsetvalue information applied to a picture in performing encoding.

The ALF may be applied to the coding unit based on information onwhether to apply the ALF, ALF coefficient information, etc. receivedfrom the device for encoding a video. The ALF information may beprovided as being included in a particular parameter set.

The memory 245 may store the reconstructed picture or block for use as areference picture or block, and may provide the reconstructed picture toan output module.

As described above, in the embodiment of the present invention, forconvenience of explanation, the coding unit is used as a termrepresenting a unit for encoding, but the coding unit may serve as aunit performing decoding as well as encoding.

In addition, a current block may represent a target block to beencoded/decoded. And, the current block may represent a coding treeblock (or a coding tree unit), a coding block (or a coding unit), atransform block (or a transform unit), a prediction block (or aprediction unit), or the like depending on an encoding/decoding step.

A picture may be encoded/decoded by partitioned into base blocks havinga square shape or a non-square shape. At this time, the base block maybe referred to as a coding tree unit. The coding tree unit may bedefined as a coding unit of the largest size allowed within a sequenceor a slice. Information regarding whether the coding tree unit has asquare shape or has a non-square shape or information regarding a sizeof the coding tree unit may be signaled through a sequence parameterset, a picture parameter set, or a slice header. The coding tree unitmay be partitioned into smaller size partitions. At this time, if it isassumed that a depth of a partition generated by dividing the codingtree unit is 1, a depth of a partition generated by dividing thepartition having depth 1 may be defined as 2. That is, a partitiongenerated by dividing a partition having a depth k in the coding treeunit may be defined as having a depth k+1.

A partition of arbitrary size generated by dividing a coding tree unitmay be defined as a coding unit. The coding unit may be recursivelypartitioned or partitioned into base units for performing prediction,quantization, transform, or in-loop filtering, or the like. For example,a partition of arbitrary size generated by dividing the coding unit maybe defined as a coding unit, or may be defined as a transform unit or aprediction unit, which is a base unit for performing prediction,quantization, transform, in-loop filtering, or the like.

Partitioning of a coding tree unit or a coding unit may be performedbased on at least one of the vertical line or the horizontal line. Inaddition, the number of vertical lines or horizontal lines partitioningthe coding tree unit or the coding unit may be at least one or more. Forexample, the coding tree unit or the coding unit may be partitioned intotwo partitions using one vertical line or one horizontal line, or thecoding tree unit or the coding unit may be partitioned into threepartitions using two vertical lines or two horizontal lines.Alternatively, the coding tree unit or the coding unit may bepartitioned into four partitions having a length and the width of ½ byusing one vertical line and one horizontal line.

When a coding tree unit or a coding unit is partitioned into a pluralityof partitions using at least one vertical line or at least onehorizontal line, the partitions may have a uniform size or a differentsize. Alternatively, any one partition may have a different size fromthe remaining partitions.

In the embodiments described below, it is assumed that a coding treeunit or a coding unit is partitioned into a quad tree structure, atriple tree structure, or a binary tree structure. However, it is alsopossible to partition a coding tree unit or a coding unit using a largernumber of vertical lines or a larger number of horizontal lines.

FIG. 3 is a diagram illustrating an example of hierarchicallypartitioning a coding block based on a tree structure as an embodimentto which the present invention is applied.

An input video signal is decoded in predetermined block units. Such adefault unit for decoding the input video signal is a coding block. Thecoding block may be a unit performing intra/inter prediction, transform,and quantization. In addition, a prediction mode (e.g., intra predictionmode or inter prediction mode) is determined on the basis of a codingblock, and the prediction blocks included in the coding block may sharethe determined prediction mode. The coding block may be a square ornon-square block having an arbitrary size in a range of 8×8 to 64×64, ormay be a square or non-square block having a size of 128×128, 256×256,or more.

Specifically, the coding block may be hierarchically partitioned basedon at least one of a quad tree, a triple tree, or a binary tree. Here,quad tree-based partitioning may mean that a 2N×2N coding block ispartitioned into four N×N coding blocks, triple tree-based partitioningmay mean that one coding block is partitioned into three coding blocks,and binarty-based partitioning may mean that one coding block ispartitioned into two coding blocks. Even if the triple-basedpartitioning or the binary tree-based partitioning is performed, asquare-shaped coding block may exist in the lower depth. Also, after thetriple-based partitioning or the binary-based partitioning is performed,generating a square-shaped coding block may be limited in a lower depth.

Binary tree-based partitioning may be symmetrically or asymmetricallyperformed. The coding block partitioned based on the binary tree may bea square block or a non-square block, such as a rectangular shape. Forexample, a partition type in which the binary tree-based partitioning isallowed may comprise at least one of a symmetric type of 2N×N(horizontal directional non-square coding unit) or N×2N (verticaldirection non-square coding unit), asymmetric type of nL×2N, nR×2N,2N×nU, or 2N×nD.

Binary tree-based partitioning may be limitedly allowed to one of asymmetric or an asymmetric type partition. In this case, constructingthe coding tree unit with square blocks may correspond to quad tree CUpartitioning, and constructing the coding tree unit with symmetricnon-square blocks may correspond to binary tree partitioning.Constructing the coding tree unit with square blocks and symmetricnon-square blocks may correspond to quad and binary tree CUpartitioning.

Binary tree-based partitioning may be performed on a coding block wherequad tree-based partitioning is no longer performed. At least one ofquad tree-based partitioning, triple tree-based partitioning, or binarytree-based partitioning may no longer be performed on the coding blockpartitioned based on the binary tree.

Alternatively, the triple tree-based partitioning or the binarytree-based partitioning may be allowed for the coding block partitionedbased on the binary tree, but only one of the horizontal or verticalpartitioning may be limitedly allowed.

For example, an additional partition or an additional partitiondirection may be limited for a coding block partitioned based on thebinary tree according to a location, an index, a shape, or an additionalpartition type of a neighboring partition of the coding blockpartitioned based on the binary tree, or the like. For example, when anindex of the coding block that precedes the coding order among the twocoding blocks generated by the binary tree based-partitioning is 0(hereinafter referred to as coding block index 0) and an index of thecoding block that follows the coding order among the two coding blocksgenerated by the binary tree-based partitioning is 1 (hereinafterreferred to as coding block index 1), in the case where the binarytree-based partitioning is applied to all coding blocks having a codingblock index of 0 or a coding block index of 1, the binary tree-basedpartitioning direction of the coding block having the coding block indexof 1 may be determined according to a binary tree-based partitioningdirection of the coding block having the coding block index of 0.Specifically, when the binary tree-based partitioning direction of thecoding block having the coding block index of 0 is to partition thecoding block having the coding block index of 0 into square partitions,binary tree-based partitioning of the coding block having the codingblock index of 1 may be limited to have a different direction frombinary tree-based partitioning of the coding block having a coding blockindex of 1. Thus, the coding blocks having the coding block index of 0and the coding block index of 1 may be restricted from being partitionedinto square partitions. In this case, encoding/decoding of informationindicating the binary tree partitioning direction of the coding blockhaving the coding block index of 1 may be omitted. This is becausepartitioning all of the coding blocks having the coding block index of 0and the coding block index of 1 into square partitions has the sameeffect as partitioning the upper depth block on the basis of a quadtree, so that allowing partitioning of all into square partitions isundesirable in terms of coding efficiency.

Triple tree-based partitioning means partitioning a coding block intothree partitions in the horizontal or vertical direction. All threepartitions generated due to triple tree-based partitioning may havedifferent sizes. Alternatively, two of the partitions generated due totriple tree-based partitioning may have the same size, and the other onemay have a different size. For example, the width ratio or height ratioof partitions generated as the coding block is partitioned may be set to1:n:1, 1:1:n, n:1:1 or m:n:1 depending on the partitioning direction.Here, m and n may be 1 or a real number greater than 1, for example, aninteger such as 2.

Triple tree-based partitioning may be performed on a coding block inwhich quad tree-based partitioning is no longer performed. For thecoding block partitioned based on the triple tree, at least one of quadtree-based partitioning, triple tree-based partitioning, or binarytree-based partitioning may be set to no longer be performed.

Alternatively, triple tree-based partitioning or binary tree-basedpartitioning may be allowed for the coding block partitioned based onthe triple tree, but only one of horizontal or vertical partitioning maybe limitedly allowed.

For example, an additional partition or an additional partitiondirection may be limited for a coding block partitioned based on thetriple tree according to a location, an index, a shape, or an additionalpartition type of a neighboring partition of the coding blockpartitioned based on the triple tree, or the like. For example, one ofhorizontal division or vertical division may be limited to a partitionhaving the largest size among coding blocks generated due to tripletree-based partitioning. Specifically, the largest partition amongcoding blocks generated due to triple tree-based partitioning may notallow binary tree partitioning in the same direction or triple treepartitioning direction in the same direction as the triple treepartitioning direction of the upper depth partition. In this case,encoding/decoding of information indicating the binary tree partitioningdirection or the triple tree partitioning direction may be omitted forthe largest partition among the coding blocks partitioned based on thetriple tree.

Partitioning based on a binary tree or a triple tree may not be allowedaccording to a size or a shape of a current block. Here, the size of thecurrent block may be expressed based on at least one of a width, aheight of the current block, a minimum/maximum of the width/height, asum of the width and the height, a product of the width and height, orthe number of samples included in the current block. For example, whenat least one of the width or the height of the current block is greaterthan a pre-defined value, partitioning based on a binary tree or atriple tree may not be allowed. Herein, the pre-defined value may be aninteger such as 16, 32, 64, or 128. As another example, when awidth-to-height ratio of the current block is greater than a pre-definedvalue or smaller than a pre-defined value, partitioning based on abinary tree or a triple tree may not be allowed. When the predefinedvalue is 1, partitioning based on a binary tree or triple tree may beallowed only when the current block is a square block having the samewidth and height.

The partitioning in the lower depth may be determined depending on thepartitioning type of the upper depth. For example, when binarytree-based partitioning is allowed in two or more depths, only a binarytree-based partitioning of the same type as a binary tree partitioningof an upper depth may be allowed in a lower depth. For example, when thebinary tree-based partitioning is performed in the 2NxN type in theupper depth, the binary tree-based partitioning in the 2NxN type may beperformed in the lower depth. Alternatively, when binary tree-basedpartitioning is performed in an Nx2N type in an upper depth, Nx2N-typebinary tree-based partitioning may be allowed in a lower depth.

Conversely, it is also possible to allow only binary tree-basedpartitioning having a different type from the binary tree partitioningof the upper depth in the lower depth.

For a sequence, a slice, a coding tree unit, or a coding unit, it may belimited to use only a special type of binary tree-based partitioning ora special type of triple tree-based partitioning. For example, it may belimited to allow only 2NxN or Nx2N type binary tree-based partitioningfor a coding tree unit. The allowed partitioning type may be predefinedin the encoder or the decoder, and information about the allowedpartitioning type or the not allowed partitioning type may be encodedand signaled through a bitstream.

FIGS. 5A and 5B are diagrams illustrating an example in which only aspecific type of binary tree-based partitioning is allowed. FIG. 5Ashows an example in which only N×2N type of binary tree-basedpartitioning is allowed, and FIG. 5B shows an example in which only 2N×Ntype of binary tree-based partitioning is allowed. In order to implementadaptive partitioning based on the quad tree or binary tree, informationindicating quad tree-based partitioning, information on a size/depth ofthe coding block that quad tree-based partitioning is allowed,information indicating binary tree-based partitioning, information onthe size/depth of the coding block that binary tree-based partitioningis allowed, information on the size/depth of the coding block thatbinary tree-based partitioning is not allowed, information on whetherbinary tree-based partitioning is performed in the vertical direction orthe horizontal direction, etc. may be used.

In addition, information on the number of times a binary/triple treepartitioning is allowed, a depth in which the binary/triple treepartitioning is allowed, or the number of the depths in which thebinary/triple tree partitioning is allowed may be obtained for a codingtree unit or a specific coding unit. The information may be encoded onthe basis of a coding tree unit or a coding unit, and may be transmittedto a decoder through a bitstream.

For example, a syntax ‘max_binary_depth_idx_minus1’ indicating a maximumdepth in which binary tree partitioning is allowed may beencoded/decoded through a bitstream. In this case,max_binary_depth_idx_minus1+1 may indicate the maximum depth in whichthe binary tree partitioning is allowed.

Referring to an example shown in FIG. 6 , in FIG. 6 , the binary treepartitioning has been performed for a coding unit having a depth of 2and a coding unit having a depth of 3. Accordingly, at least one ofinformation indicating the number of times the binary tree partitioningin the coding tree unit has been performed (i.e., 2 times), informationindicating the maximum depth in which the binary tree partitioning hasbeen allowed in the coding tree unit (i.e., depth 3), or the number ofdepths in which the binary tree partitioning has been performed in thecoding tree unit (i.e., 2 (depth 2 and depth 3)) may be encoded/decodedthrough a bitstream.

As another example, at least one of information on the number of timesthe binary/triple tree partitioning is allowed, the depth in which thebinary/triple tree partitioning is allowed, or the number of the depthsin which the binary/triple tree partitioning is allowed may be obtainedfor each sequence or each slice. For example, the information may beencoded on the basis of a sequence, a picture, or a slice unit andtransmitted through a bitstream. In contrast, a depth in which thebinary/triple tree partitioning is allowed, or the number of the depthsin which the binary/triple tree partitioning is allowed may be definedfor each a sequence, a picture, or a slice unit. Accordingly, at leastone of the number of the binary/triple tree partitioning in the firstslice and the second slice, the maximum depth in which the binary/tripletree partitioning is allowed in the first slice and the second slice, orthe number of depths in which the binary/triple tree partitioning isperformed in the first slice and the second slice may be difference froma second slice. For example, in the first slice, binary treepartitioning may be allowed for only one depth, while in the secondslice, binary tree partitioning may be allowed for two depths.

As another example, the number of times the binary/triple treepartitioning is allowed, the depth in which the binary/triple treepartitioning is allowed, or the number of depths in which thebinary/triple tree partitioning is allowed may be set differentlyaccording to a time level identifier (TemporalID) of a slice or apicture. Here, the temporal level identifier (TemporalID) is used toidentify each of a plurality of layers of video having a scalability ofat least one of view, spatial, temporal or quality.

As shown in FIG. 3 , the first coding block 300 with the partition depth(split depth) of k may be partitioned into a plurality of second codingblocks based on the quad tree. For example, the second coding blocks 310to 340 may be square blocks having the half width and the half height ofthe first coding block, and the partition depth of the second codingblock may be increased to k+1.

The second coding block 310 with the partition depth of k+1 may bepartitioned into a plurality of third coding blocks with the partitiondepth of k+2. Partitioning of the second coding block 310 may beperformed by selectively using one of the quad tree and the binary treedepending on a partitioning method. Here, the partitioning method may bedetermined based on at least one of the information indicating quadtree-based partitioning or the information indicating binary tree-basedpartitioning.

When the second coding block 310 is partitioned based on the quad tree,the second coding block 310 may be partitioned into four third codingblocks 310 a having the half width and the half height of the secondcoding block, and the partition depth of the third coding block 310 amay be increased to k+2. In contrast, when the second coding block 310is partitioned based on the binary tree, the second coding block 310 maybe partitioned into two third coding blocks. Here, each of two thirdcoding blocks may be a non-square block having one of the half width andthe half height of the second coding block, and the partition depth maybe increased to k+2. The second coding block may be determined as anon-square block of the horizontal direction or the vertical directiondepending on a partitioning direction, and the partitioning directionmay be determined based on the information on whether binary tree-basedpartitioning is performed in the vertical direction or the horizontaldirection.

In the meantime, the second coding block 310 may be determined as a leafcoding block that is no longer partitioned based on the quad tree or thebinary tree. In this case, the leaf coding block may be used as aprediction block or a transform block.

Like partitioning of the second coding block 310, the third coding block310 a may be determined as a leaf coding block, or may be furtherpartitioned based on the quad tree or the binary tree.

In the meantime, the third coding block 310 b partitioned based on thebinary tree may be further partitioned into coding blocks 310 b-2 of thevertical direction or coding blocks 310 b-3 of the horizontal directionbased on the binary tree, and the partition depth of the relevant codingblocks may be increased to k+3. Alternatively, the third coding block310 b may be determined as a leaf coding block 310 b-1 that is no longerpartitioned based on the binary tree. In this case, the coding block 310b-1 may be used as a prediction block or a transform block. However, theabove partitioning process may be limitedly performed based on at leastone of the information on a size/depth of the coding block that quadtree-based partitioning is allowed, the information on the size/depth ofthe coding block that binary tree-based partitioning is allowed, or theinformation on the size/depth of the coding block that binary tree-basedpartitioning is not allowed.

A number of a candidate that represent a size of a coding block may belimited to a predetermined number, or the size of the coding block in apredetermined unit may have a fixed value. As an example, the size ofthe coding block in a sequence or in a picture may be limited to have256X256, 128×128, or 32×32. Information indicating the size of thecoding block in the sequence or in the picture may be signaled through asequence header or a picture header.

As a result of partitioning based on a quad tree, a binary tree and atriple tree, a coding unit may be represented as square or rectangularshape of an arbitrary size.

A coding block may be encoded/decoded using at least one of a skip mode,an intra prediction, an inter prediction, or a skip method.

As another example, intra prediction or inter prediction may beperformed on the same size as a coding block or a unit smaller than thecoding block generated by partitioning the coding block. Once a codingblock is determined, a prediction block may be determined throughpredictive partitioning of the coding block. The predictive partitioningof the coding block may be performed by a partition mode (Part mode)indicating a partition type of the coding block. A size or a shape ofthe prediction block may be determined according to the partition modeof the coding block. For example, a size of a prediction blockdetermined according to the partition mode may be equal to or smallerthan a size of a coding block.

FIG. 7 is a diagram illustrating a partition mode that may be applied toa coding block when the coding block is encoded by inter prediction.

When a coding block is encoded by inter prediction, one of 8partitioning modes may be applied to the coding block, as in an exampleshown in FIG. 4 .

When a coding block is encoded by intra prediction, a partition modePART _2N×2N or a partition mode PART_N×N may be applied to the codingblock.

PART_N×N may be applied when a coding block has a minimum size. Here,the minimum size of the coding block may be pre-defined in an encoderand a decoder. Or, information regarding the minimum size of the codingblock may be signaled via a bitstream. For example, the minimum size ofthe coding block may be signaled through a slice header, so that theminimum size of the coding block may be defined per slice.

In general, a prediction block may have a size from 64×64 to 4×4.However, when a coding block is encoded by inter prediction, it may berestricted that the prediction block does not have a 4×4 size in orderto reduce memory bandwidth when performing motion compensation.

FIG. 8 is a diagram illustrating types of pre-defined intra predictionmodes for a device for encoding/decoding a video according to anembodiment of the present invention.

The device for encoding/decoding a video may perform intra predictionusing one of pre-defined intra prediction modes. The pre-defined intraprediction modes for intra prediction may include non-directionalprediction modes (e.g., a planar mode, a DC mode) and 33 directionalprediction modes.

Alternatively, in order to enhance accuracy of intra prediction, alarger number of directional prediction modes than the 33 directionalprediction modes may be used. That is, M extended directional predictionmodes may be defined by subdividing angles of the directional predictionmodes (M>33), and a directional prediction mode having a predeterminedangle may be derived using at least one of the 33 pre-defineddirectional prediction modes.

Specifically, a larger number of intra prediction modes than 35 intraprediction modes shown in FIG. 8 may be used. At this time, the use of alarger number of intra prediction modes than the 35 intra predictionmodes may be referred to as an extended intra prediction mode.

FIG. 9 illustrates an example of extended intra prediction modes, andthe extended intra prediction modes may include 2 non-directionalprediction modes and 65 extended directional prediction modes. The samenumbers of the extended intra prediction modes may be used for a lumacomponent and a chroma component, or a different number of intraprediction modes may be used for each component. For example, 67extended intra prediction modes may be used for the luma component, and35 intra prediction modes may be used for the chroma component.

Alternatively, depending on the chroma format, a different number ofintra prediction modes may be used in performing intra prediction. Forexample, in the case of the 4:2:0 format, 67 intra prediction modes maybe used for the luma component to perform intra prediction and 35 intraprediction modes may be used for the chroma component. In the case ofthe 4:4:4 format, 67 intra prediction modes may be used for both theluma component and the chroma component to perform intra prediction.

Alternatively, depending on a size and/or shape of the block, adifferent number of intra prediction modes may be used to perform intraprediction. That is, depending on a size and/or shape of the PU or CU,35 intra prediction modes or 67 intra prediction modes may be used toperform intra prediction. For example, when the CU or PU has the sizeless than 64×64 or is asymmetrically partitioned, 35 intra predictionmodes may be used to perform intra prediction. When the size of the CUor PU is equal to or greater than 64×64, 67 intra prediction modes maybe used to perform intra prediction. 65 directional intra predictionmodes may be allowed for Intra 2N×2N, and only 35 directional intraprediction modes may be allowed for Intra _N×N.

A size of a block to which the extended intra prediction mode is appliedmay be set differently for each sequence, picture or slice. For example,it is set that the extended intra prediction mode is applied to a block(e.g., CU or PU) which has a size greater than 64×64 in the first slice.On the other hands, it is set that the extended intra prediction mode isapplied to a block which has a size greater than 32×32 in the secondslice. Information representing a size of a block to which the extendedintra prediction mode is applied may be signaled through on the basis ofa sequence, a picture, or a slice. For example, the informationindicating a size of the block to which the extended intra predictionmode is applied may be defined as ‘log 2_extended _intra _mode _size_minus4’ obtained by taking a logarithm of the block size and thensubtracting the integer 4. For example, if a value of log2_extended_intra_mode_size_minus4 is 0, it may indicate that theextended intra prediction mode may be applied to a block having a sizeequal to or greater than 16×16. And if a value of log2_extended_intra_mode_size_minus4 is 1, it may indicate that theextended intra prediction mode may be applied to a block having a sizeequal to or greater than 32×32.

As described above, the number of intra prediction modes may bedetermined in consideration of at least one of a color component, achroma format, or a size or a shape of a block. In addition, the numberof intra prediction mode candidates (e.g., the number of MPMs) used fordetermining an intra prediction mode of a current block to beencoded/decoded may also be determined according to at least one of acolor component, a color format, or a size or a shape of a block. Inaddition, it is also possible to use a larger number of intra predictionmodes than shown in FIG. 8 . For example, by further subdividing thedirectional prediction modes shown in FIG. 8 , it is also possible touse 129 directional prediction modes and 2 non-directional predictionmodes. Whether to use a larger number of intra prediction modes thanshown in FIG. 8 may be determined in consideration of at least one ofthe color component, the color format component, the size or the shapeof the block, as in the above-described example.

Referring to the drawings to be described later, a method of determiningan intra prediction mode of a current block to be encoded/decoded and amethod of performing intra prediction using the determined intraprediction mode will be described with the drawings.

FIG. 10 is a flowchart briefly illustrating an intra prediction methodaccording to an embodiment of the present invention.

First, a reference sample line index of a current block may bedetermined S1010. The reference sample line index may be used todetermine a reference sample line that is used to perform intraprediction of the current block. Among multiple reference sample lines,at least one reference sample line indicated by the reference sampleline index may be used to perform intra prediction of the current block.

FIG. 11 is a diagram illustrating an example of multiple referencesample lines.

An N-th reference sample line may include: a top reference sample ofwhich the y coordinate is smaller by N than that of the topmost row ofthe current block; and a left reference sample of which the x coordinateis smaller by N than that of the leftmost column of the current block.Herein, the N-th reference sample line represents a reference sampleline of which an index is N-1, in the example shown in FIG. 11 . TheN-th reference sample line may include top reference samples startingfrom P(-N, -N) to P(2W+N-1, -N), and left reference samples startingfrom P(-N, -N) to P(-N, 2H+N-1). For example, the reference sample line1 may include top reference samples starting from P(-2, -2) to P(2W+1,-2), and left reference samples starting from P(-2, -2) to P(-2, 2H+1).

The number of reference sample lines that may be used as referencesample line candidates may be two, three, four, or more. For example, inthe example shown in FIG. 11 , a reference sample line 0, a referencesample line 1, and a reference sample line 3 may be used as referencesample line candidates.

The number of the reference sample lines or the positions of thereference sample lines that may be used as reference sample linecandidates may be determined based on at least one of the size, theshape, the intra prediction mode, and the position of the current block.For example, when the current block is positioned near a boundary of aCTU or a boundary of a tile, the number of reference sample linecandidates is determined to be one (for example, a reference sample line0). When the current block is not positioned near a boundary of a CTU ora boundary of a tile, the number of reference sample line candidates isdetermined to be three (for example, a reference sample line 0, areference sample line 1, and a reference sample line 3). For example,when the intra prediction mode of the current block falls within a firstrange, the reference sample line 0, the reference sample line 1, and thereference sample line 3 are used as reference sample line candidates.When the intra prediction mode of the current block falls within asecond range, the reference sample line 0, the reference sample line 2,and the reference sample line 2 are used as reference sample linecandidates.

Information for selecting at least one of the multiple reference samplelines may be signaled through a bitstream. When the index information isnot encoded, it is inferred that the reference sample line 0 adjacent tothe current block is selected.

Alternatively, on the basis of the size, the shape, the position, or theintra prediction mode of the current block, at least one of the multiplereference sample lines may be selected. For example, when at least oneamong the width, the height, and the size of the current block issmaller than a predefined value, the reference sample line 0 isselected. For example, when the current block adjoins the top boundaryof the CTU or tile, the reference sample line 0 is selected.

Alternatively, a reference sample line may be selected on the basis ofwhether the current block is partitioned into sub-blocks. For example,when the current block is partitioned into sub-blocks, the referencesample line 0 is selected.

Alternatively, when the current block is partitioned into multiplesub-blocks, a reference sample line is determined for each of thesub-blocks. Alternatively, it may be defined that all the sub-blockshave the same reference sample line index.

When the current block is partitioned into multiple sub-blocks, intraprediction is performed on a sub-block basis.

Multiple reference sample lines may be selected for the current block.Whether to perform intra prediction using multiple reference samplelines may be adaptively determined according to the size, the shape, orthe intra prediction mode of the current block. For example, when theintra prediction mode of the current block is a non-directionalprediction mode or a predefined directional intra prediction mode,multiple reference sample lines are not used. The predefined directionalintra prediction mode may include at least one among avertical-direction intra prediction mode, a horizontal-direction intraprediction mode, and a diagonal-direction intra prediction mode.

The multiple reference sample lines may include a reference sample lineselected by index information, and a reference sample line derived byadding or subtracting a predefined value from the index of the referencesample line. Herein, the predefined value may be one or two.

Alternatively, multiple pieces of index information may be signaledthrough a bitstream. The multiple pieces of index information indicatedifferent reference sample lines.

A prediction sample may be obtained on the basis of at least one among aweighted sum operation, an average operation, a minimum value operation,and a maximum value operation of multiple reference samples. Herein, theindex of the reference sample line including at least one of themultiple reference samples may be different from the index of thereference sample line including the remaining reference samples.

Next, the intra prediction mode of the current block may be determinedS1020.

In order to determine the intra prediction mode of the current block,most probable mode (MPM) candidates may be derived on the basis of anintra prediction mode of a neighboring block adjacent to the currentblock. Herein, the neighboring block may include at least one of blocksadjacent to the top, the bottom, the left side, the right side, and thecorner of the current block. For example, the MPM candidates may bederived on the basis of the intra prediction mode of the top neighboringblock and the intra prediction mode of the left neighboring block. Thetop neighboring block may include a top neighboring sample at apredefined position of which the y-coordinate value is smaller than thatof the topmost row of the current block. The predefined position may be(0, -1), (W/2, -1), (W-1, -1), or (W, -1). The coordinates (0, 0)represent the position of the top left sample included in the currentblock and W represents the width of the current block. The leftneighboring block may include a left neighboring sample at a predefinedposition of which the x-coordinate value is smaller than that of theleftmost column of the current block. The predefined position may be(-1, 0), (-1, H/2), (-1, H-1), or (-1, H). H represents the height ofthe current block. If the neighboring block is encoded using interprediction, an MPM candidate may be included using an intra predictionmode of a collocated block of the neighboring block or the currentblock.

The number of most probable mode (MPM) candidates that a candidate listincludes may be three, four, five, six, or more. The maximum number ofMPM candidates may be a fixed value preset in an image encoder/decoder.Alternatively, the maximum number of MPM candidates may be determined onthe basis of an attribute of the current block. The attribute mayinclude at least one of the position/size/shape of the current block,the number/types of intra prediction modes that the current block mayuse, the color type (luma/chroma) of the current block, the chromaformat of the current block, or information on whether the current blockis partitioned into multiple sub-blocks. Alternatively, informationindicating the maximum number of MPM candidates may be signaled througha bitstream. The information indicating the maximum number may besignaled at least one among a sequence level, a picture level, a slicelevel, and a bock level.

The intra prediction mode of the neighboring block, the directionalintra prediction mode similar to that of the neighboring block, or adefault mode may be set as the MPM candidate. The directional intraprediction mode similar to that of the neighboring block may be derivedby adding or subtracting a predefined value from the intra predictionmode of the neighboring block. The predefined value may be an integer ofone, two, or more. The predefined value may be adaptively determinedaccording to the number of available intra prediction modes. Forexample, when the number of available intra prediction modes is 35, thepredefined value is set to one. When the number of available intraprediction modes is 67, the predefined value is set to two. Further,when the number of available intra prediction modes is 131, thepredefined value is set to four. When both of an intra prediction modeof a first neighboring block and an intra prediction mode of a secondneighboring block are directional prediction modes, a directional intraprediction mode similar thereto is derived on the basis of the maximumvalue among the intra prediction mode of the first neighboring block andthe intra prediction mode of the second neighboring block. The defaultmode may include at least one among a DC mode, a planar mode, ahorizontal-direction prediction mode, a vertical-direction predictionmode, a top right diagonal-direction mode, a bottom leftdiagonal-direction mode, and a top left diagonal-direction mode.

MPM candidate indexes may be determined according to a predefined order.For example, when the intra prediction mode of the left neighboringblock and the intra prediction mode of the top neighboring block aredifferent from each other, the intra prediction mode of the leftneighboring block has an index value smaller than that of the intraprediction mode of the top neighboring block.

Alternatively, MPM candidate indexes may be determined according to thesize/shape of the current block. For example, when the current block isa non-square shape of which the height is greater than the width, theintra prediction mode of the top neighboring block has an index valuesmaller than that of the intra prediction mode of the left neighboringblock. When the current block is a non-square shape of which the widthis greater than the height, the intra prediction mode of the leftneighboring block has an index value smaller than that of the intraprediction mode of the top neighboring block.

When extended intra prediction modes and predefined 35 intra predictionmodes are selectively used, the intra prediction mode of the neighboringblock is converted into an index corresponding to the extended intraprediction modes, or is converted into an index corresponding to the 35intra prediction modes, thereby deriving MPM candidates. For theconversion of the index, a predefined table may be used, or a scalingoperation based on a predetermined value may be used. Herein, thepredefined table may define a mapping relationship between differentintra prediction mode groups (for example, the extended intra predictionmodes and the 35 intra prediction modes).

For example, when the left neighboring block uses 35 intra predictionmodes and the intra prediction mode index of the left neighboring blockis 10 (horizontal mode), the index is converted to an index 18corresponding to a horizontal mode among the extended intra predictionmodes.

Alternatively, when the top neighboring block uses the extended intraprediction modes and the intra prediction mode index of the topneighboring block is 50 (vertical mode), the index is converted to anindex 26 corresponding to a vertical mode among the 35 intra predictionmodes.

When the index of the reference sample line selected at step S1010 isequal to or greater than a predefined value, the candidate list is setnot to include the DC mode and/or the planar mode. The predefined valuemay be an integer of one or more.

When the current block is partitioned into multiple sub-blocks, acurrent candidate list is set not to include the DC mode. In addition,the candidate list may include a default mode. Herein, the number or thetypes of default modes may vary depending on the partition type of thecurrent block.

Information indicating whether the MPM candidate that is the same as theintra prediction mode of the current block is included in the candidatelist may be signaled through a bitstream. When the information indicatesthat the MPM candidate the same as the intra prediction mode of thecurrent block is present, index information specifying any one of theMPM candidates included in the candidate list is signaled through abitstream. The MPM candidate specified by the index information may beset as an intra prediction mode of the current block. Whenencoding/signaling the information is omitted, it is determined that theMPM candidate the same as the intra prediction mode of the current blockis included in the candidate list.

Conversely, when the information indicates that the MPM candidate thesame as the intra prediction mode of the current block is not present,remaining-mode information is signaled through a bitstream. Theremaining-mode information is used to specify any one of the remainingintra prediction modes excluding the MPM candidates included in thecandidate list. By using the remaining-mode information, the intraprediction mode of the current block may be determined. When theinformation indicates that the MPM candidate the same as the intraprediction mode of the current block is not present, MPM candidates arerearranged in ascending order. Afterward, the mode value indicated bythe remaining-mode information is sequentially compared with therearranged MPM candidates, so that the intra prediction mode of thecurrent block may be derived. For example, when the mode value indicatedby the remaining-mode information is equal to or less than therearranged MPM candidates, 1 is added to the mode value. When the MPMcandidate that is equal to or less than the updated mode value is notpresent, the updated mode value is determine as the intra predictionmode of the current block.

When the index of the reference sample line selected at step S1010 isequal to or greater than a predefined value, encoding of the informationis omitted. Accordingly, when the index of the reference sample line isequal to or greater than the predefined value, the intra prediction modeof the current block is set to the MPM candidate indicated by the indexinformation.

As described above, when the index of the reference sample line is equalto or greater than the predefined value, the candidate list is set notto include the DC mode and/or the planar mode. Accordingly, when thereference sample line index is equal to or greater than the predefinedvalue, the DC mode and/or the planar mode is unavailable for the currentblock.

When the current block is partitioned into multiple sub-blocks, themultiple sub-blocks share the intra prediction mode of the currentblock. Alternatively, the intra prediction mode may be determined foreach of the sub-blocks. For example, the information and/or theremaining mode may be encoded/decoded for each of the sub-blocks.Alternatively, information indicating whether the intra prediction modeof the sub-block is the same as that of the previous encoded/decodedsub-block may be signaled through a bitstream. Alternatively, the intraprediction mode of the current sub-block may be derived byadding/subtracting offset from the intra prediction mode of thepreviously encoded/decoded sub-block.

When the current block is partitioned into multiple sub-blocks, theencoding of the information is omitted. Accordingly, when current blocksare partitioned into multiple sub-blocks, the intra prediction mode ofthe current block is set to the MPM candidate indicated by the indexinformation.

The multiple sub-blocks may share the intra prediction mode of thecurrent block.

An intra prediction mode of a luma component and of a chroma componentmay be determined independently of each other. Alternatively, the intraprediction mode of the chroma component may be determined dependently onthe intra prediction mode of the luma component.

Specifically, the intra prediction mode of the chroma component may bedetermined on the basis of the intra prediction mode of the lumacomponent as shown in Table 1 below.

TABLE 1 Intra_chroma_pred_mode [xCb] [yCb] IntraPredModeY[xCb] [yCb] 026 10 1 x(0<=X<=34) 0 34 0 0 0 0 1 26 34 26 26 26 2 10 10 34 10 10 3 1 11 34 1 4 0 26 10 1 x

In Table 1, intra_chroma_pred_mode denotes information signaled tospecify the intra prediction mode of the chroma component, andIntraPredModeY denotes the intra prediction mode of the luma component.

Next, the reference samples for the current block may be derived S1030.For example, when the N-th reference sample line is selected at stepS1010, the top reference samples starting from P(-N, -N) to P(2W+N-1,-N), and the left reference samples starting from P(-N, -N) to P(-N,2H+N-1) are derived.

A reference sample may be derived from a reconstructed sample that isencoded/decoded before the current block. The reconstructed sample mayrefer to a sample in a state before an in-loop filter is applied or astate after the in-loop filter is applied.

A predetermined intra filter may be applied to reference samples.Filtering reference samples by using an intra filter may be referred toas reference sample smoothing. The intra filter may include at least oneamong a first intra filter applied in a horizontal direction, and asecond intra filter applied in a vertical direction. Either the firstintra filter or the second intra filter may be selectively appliedaccording to the position of the reference sample. Alternatively, twointra filters may be applied to one reference sample. A filtercoefficient of at least one among the first intra filter and the secondintra filter may be (1,2,1), but no limitation thereto is imposed.

The filtering may be adaptively performed on the basis of at least oneof the intra prediction mode of the current block, or the size of thetransform block related to the current block. For example, when theintra prediction mode of the current block is the DC mode, the verticalmode, or the horizontal mode, filtering is not performed. When the sizeof the transform block is NxM, filtering is not performed. Herein, N andM may be the same or different values, and may be any one of values of4, 8, 16, and more. For example, when the size of the transform block is4x4, filtering is not performed. Alternatively, whether to performfiltering may be determined on the basis of a result of comparing thedifference between the intra prediction mode of the current block andthe vertical mode (or horizontal mode), with a predefined threshold. Forexample, filtering is performed only when the difference between theintra prediction mode of the current block and the vertical mode isgreater than the threshold. The threshold may be defined for each sizeof the transform block, as shown in Table 2.

TABLE 2 8x8 transform 16x16 transform 32x32 transform Threshold 7 1 0

Any one of multiple intra filter candidates predefined in the imageencoder/decoder may be determined as the intra filter. To this end, aparticular index specifying an intra filter for the current block amongmultiple intra filter candidates may be signaled. Alternatively, theintra filter may be determined on the basis of at least one of thesize/shape of the current block, the size/shape of the transform block,information on the filter strength, or a variation of neighboringsamples.

Next, intra prediction may be performed using the intra prediction modeof the current block and the reference samples S1040.

A prediction sample may be obtained using the intra prediction mode ofthe current block and a reference sample. When multiple reference samplelines are selected, a prediction sample is obtained on the basis of aweighted sum operation or an average operation of the reference samplesbelonging to different reference sample lines. For example, a predictionsample may be derived on the basis of a weighted sum operation of afirst reference sample belonging to a first reference sample line and asecond reference sample belonging to a second reference sample line.Here, weights applied to the first reference sample and the secondreference sample may have the same value. Alternatively, a weightapplied to each reference sample may be determined on the basis of thedistance between a prediction target sample and a reference sample. Forexample, among the first reference sample and the second referencesample, a weight applied to the reference sample closer to theprediction target sample may have a larger value than a weight appliedto the other reference sample.

However, in the case of intra prediction, a boundary sample of theneighboring block may be used, and thus quality of the predictionpicture may be decreased. Therefore, a correction process may beperformed on the prediction sample generated through the above-describedprediction process, and will be described in detail with reference toFIG. 12 . However, the correction process is not limited to beingapplied only to the intra prediction sample, and may be applied to aninter prediction sample or the reconstructed sample.

FIG. 12 is a diagram illustrating a method of correcting a predictionsample of a current block based on differential information ofneighboring samples according to an embodiment of the present invention.

The prediction sample of the current block may be corrected based on thedifferential information of a plurality of neighboring samples for thecurrent block. The correction may be performed on all prediction samplesin the current block, or may be performed on prediction samples inpredetermined partial regions. The partial regions may be one row/columnor a plurality of rows/columns, and these may be preset regions forcorrection in the device for encoding/decoding a video. For example,correction may be performed on a one row/column located at a boundary ofthe current block or may be performed on a plurality of rows/columnsfrom the boundary of the current block. Alternatively, the partialregions may be variably determined based on at least one of a size/shapeof the current block or an intra prediction mode.

The neighboring samples may belong to the neighboring blocks positionedat the top, the left, and the top left corner of the current block. Thenumber of neighboring samples used for correction may be two, three,four, or more. The positions of the neighboring samples may be variablydetermined depending on the position of the prediction sample which isthe correction target in the current block. Alternatively, some of theneighboring samples may have fixed positions regardless of the positionof the prediction sample which is the correction target, and theremaining neighboring samples may have variable positions depending onthe position of the prediction sample which is the correction target.

The differential information of the neighboring samples may mean adifferential sample between the neighboring samples, or may mean a valueobtained by scaling the differential sample by a predetermined constantvalue (e.g., one, two, three, or the like.). Here, the predeterminedconstant value may be determined considering the position of theprediction sample which is the correction target, the position of acolumn or a row including the prediction sample which is the correctiontarget, the position of the prediction sample within the column, therow, or the like.

For example, when the intra prediction mode of the current block is thevertical mode, differential samples between the top left neighboringsample p(-1, -1) and neighboring samples p (-1, y) adjacent to the leftboundary of the current block may be used to obtain the final predictionsample as shown in Equation 1.

$\begin{matrix}{P^{\prime}( {0,y} ) = P( {0,y} ) + ( ( {p( {\text{-1,}y} )\text{-}p( \text{-1,-1} )} ) ) > > 1\text{for}y = 0\ldots N\text{-1}} & \text{­­­[Equation 1]}\end{matrix}$

For example, when the intra prediction mode of the current block is thehorizontal mode, differential samples between the top left neighboringsample p (-1, -1) and neighboring samples p(x, -1) adjacent to the topboundary of the current block may be used to obtain the final predictionsample as shown in Equation 1

$\begin{matrix}{P^{\prime}( {x,0} ) = p( {x,0} ) + ( ( {p( {x,\text{-1}} )\text{-}p( \text{-1,-1} )} ) ) > > 1\text{for}x = 0\ldots N\text{-1}} & \text{­­­[Equation 2]}\end{matrix}$

For example, when the intra prediction mode of the current block is thevertical mode, differential samples between the top left neighboringsample p(-1, -1) and neighboring samples p (-1, y) adjacent to the leftboundary of the current block may be used to obtain the final predictionsample as shown in Equation 2. Here, the differential sample may beadded to the prediction sample, or the differential sample may be scaledby a predetermined constant value, and then added to the predictionsample. The predetermined constant value used in scaling may bedetermined differently depending on the column and/or row. For example,the prediction sample may be corrected as shown in Equation 3 andEquation 4.

$\begin{matrix}{P^{\prime}( {0,y} ) = P( {0,y} ) + ( ( {p( {\text{-1,}y} )\text{-}p( \text{-1,-1} )} ) ) > > 1\text{for}y = 0\ldots N\text{-1}} & \text{­­­[Equation 3]}\end{matrix}$

$\begin{matrix}{P^{\prime}( {1,y} ) = P( {1,y} ) + ( ( {p( {\text{-1,}y} )\text{-}p( \text{-1,-1} )} ) ) > > 2\text{for}y = 0\ldots N\text{-1}} & \text{­­­[Equation 4]}\end{matrix}$

For example, when the intra prediction mode of the current block is thehorizontal mode, differential samples between the top left neighboringsample p (-1, -1) and neighboring samples p(x, -1) adjacent to the leftboundary of the current block may be used to obtain the final predictionsample. This is as described above in the horizontal mode. For example,the prediction samples may be corrected as in Equations 5 and 6 below.

$\begin{matrix}{P^{\prime}( {x,0} ) = p( {x,0} ) + ( ( {p( {x,\text{-1}} )\text{-}p( \text{-1,-1} )} ) ) > > 1\text{for}x = 0\ldots N\text{-1}} & \text{­­­[Equation 5]}\end{matrix}$

$\begin{matrix}{P^{\prime}( {x,1} ) = p( {x,1} ) + ( ( {p( {x,\text{-1}} )\text{-}p( \text{-1,-1} )} ) ) > > 2\text{for}x = 0\ldots N\text{-1}} & \text{­­­[Equation 6]}\end{matrix}$

When an intra prediction mode of a current block is a directionalprediction mode, intra prediction of the current block may be performedbased on the directionality of the directional prediction mode. Forexample, Table 3 shows an intra direction parameter intraPredAng fromMode 2 to Mode 34, which is the directional intra prediction modeillustrated in FIG. 8 .

TABLE 3 predModeIntra 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16intraPredAng - 32 26 21 17 13 9 5 2 0 -2 -5 -9 -13 -7 -21 predModeIntra18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 intraPredAng -32 -26 -21-17 -13 -9 -5 -2 0 2 5 9 13 17 21 26

In Table 3, 33 directional intra prediction modes have been described byway of example, but more or fewer directional intra prediction modes maybe defined.

An intra direction parameter for a current block may be determined basedon a lookup table that defines a mapping relationship between adirectional intra prediction mode and an intra direction parameter.Alternatively, the intra direction parameter for the current block maybe determined based on the information signaled through the bitstream.

Intra prediction of the current block may be performed using at leastone of the left reference sample or the top reference sample, dependingon the directionality of the directional intra prediction mode. Here,the top reference sample may be a reference sample (e.g., (-1, -1) to(2W-1, -1)) having a y-axis coordinate smaller than the predictiontarget sample (x, 0) included in the top row in the current block, andthe left reference sample may be a reference sample (e.g., (-1, -1) to(-1, 2H-1)) having x-axis coordinates smaller than the prediction targetsample (0, y) included in the leftmost column in the current block.

Depending on a directionality of an intra prediction mode, referencesamples of the current block may be arranged in one dimension.Specifically, when both the top reference sample and the left referencesample should be used for intra prediction of the current block, it isassumed that they are arranged in a line along the vertical orhorizontal direction, and reference samples of each prediction targetsample may be selected.

For example, in the case where the intra direction parameter is negative(e.g., the intra prediction mode corresponding to Mode 11 to Mode 25 inTable 3), the top reference samples and the left reference samples maybe rearranged along the horizontal or vertical direction to form aone-dimensional reference sample group P_ref_lD.

FIGS. 13 and 14 are a diagram illustrating a one-dimensional referencesample group in which reference samples are rearranged in a line.

Whether the reference samples are arranged in a vertical direction or ina horizontal direction may be determined according to the direction ofthe intra prediction mode. For example, when the intra prediction modeis directed to the left (for example, the index of the intra predictionmode is between 11 and 18 in the example shown in FIG. 8 ), as in theexample shown in FIG. 13 , a one-dimensional reference sample group inwhich the left reference samples and the top reference samples arearranged in a vertical direction is generated by rotating the topreference samples of the current block in a counterclockwise direction.

Conversely, when the intra prediction mode is directed to the top (forexample, the index of the intra prediction mode is between 19 and 25 inthe example shown in FIG. 8 ), as in the example shown in FIG. 14 , aone-dimensional reference sample group in which the left referencesamples and the top reference samples are arranged in a horizontaldirection is generated by rotating the left reference samples of thecurrent block in a clockwise direction.

If the intra direction parameter of the current block is not negative,intra prediction for the current block may be performed using only theleft reference samples or the top reference samples. Accordingly, forthe intra prediction modes in which the intra direction parameter is notnegative, the one-dimensional reference sample group may be constitutedusing only the left reference sample or the top reference samples.

Based on the intra direction parameter, a reference sample determinationindex iIdx for specifying at least one reference sample used to predictthe prediction target sample may be derived. In addition, a weightrelated parameter ifact used to determine a weight applied to eachreference sample based on the intra direction parameter may be derived.For example, Equations 7 and 8 illustrate examples of deriving referencesample determination index and weight related parameter

$\begin{matrix}\begin{array}{l}{iIdx = ( {y + 1} )*( {P_{ang}/32} )} \\{\text{if}act = \lbrack {( {y + 1} )*P_{ang}} \rbrack\mspace{6mu} 31}\end{array} & \text{­­­[Equation 7]}\end{matrix}$

As shown in Equation 7, iIdx and ifact are variably determined accordingto the slope of the directional intra prediction mode. In this case, thereference sample specified by iIdx may correspond to an integer pel.

Based on a reference sample determination index, at least one referencesample may be specified for each prediction sample. For example, theposition of the reference sample in the one-dimensional reference samplegroup for predicting the prediction target sample in the current blockmay be specified based on the reference sample determination index.Based on the reference sample at the specified position, a predictionimage (i.e., a prediction sample) for the prediction target sample maybe generated.

Depending on the intra prediction mode of the current block, aprediction image for a prediction target sample may be generated on thebasis of one or multiple reference samples.

For example, when a virtual angular line extending from a predictiontarget sample passes an integer-pel position (that is, a referencesample at an integer position) within a one-dimensional reference samplegroup, the reference sample at the integer-pel position is copied, orthe reference sample is scaled depending on the position between thereference sample at the integer-pel position and the prediction targetsample, thereby generating a prediction image for the prediction targetsample. The virtual angular line may refer to aunidirectional/bi-directional extended line at an angle of the intraprediction mode of the current block or at a slope of the intraprediction mode. For example, Equation 8 below represents an example inwhich a reference sample P_ref_1D(x+iIdx+1) specified by the intraprediction mode of the current block is copied to generate a predictionimage P(x, y) for a prediction target sample at a position (x, y).

$\begin{matrix}{P( {x,y} ) = P\_ ref\_ 1D( {x + iIdx + 1} )} & \text{­­­[Equation 8]}\end{matrix}$

Conversely, when the virtual angular line extending from the predictiontarget sample does not pass the integer-pel position, a prediction imagefor the prediction target sample is obtained using multiple referencesamples. The prediction image for the prediction target sample may begenerated by linearly interpolating a reference sample adjacent to theposition where the virtual angular line passes, and at least oneneighboring reference sample adjacent to the reference sample.Alternatively, the prediction image for the prediction target sample maybe obtained by performing tap filter-based interpolation on thereference sample and the at least one neighboring reference sample. Thenumber of taps of the interpolation filter may be a natural number oftwo or more. Specifically, according to the number of reference samplesto be interpolated, the number of taps of the tap filter may be aninteger of two, three, four, five, six, or more.

For example, when a virtual angular line extending from a predictiontarget sample passes between two integer-pel positions, a predictionimage for the prediction target sample is generated using referencesamples located both sides of the position where the virtual angularline passes or using at least one of reference samples at the twointeger-pel positions and at least one of neighboring reference samples.Herein, the neighboring reference sample may include at least one ofreference samples adjacent to the left/right or the top/bottom part of areference sample. For example, Equation 9 below represents an example inwhich a prediction sample P(x, y) for a prediction target sample isgenerated by interpolating two or more reference samples.

$\begin{matrix}\begin{array}{l}{P( {x,y} ) = {( {32\text{-}i_{fact}} )/{32*P\_ ref\_ 1D( {x + iIdx + 1} )}}} \\{{+ i_{fact}}/{32*P\_ ref\_ 1D( {x + iIdx + 2} )}}\end{array} & \text{­­­[Equation 9]}\end{matrix}$

A coefficient of an interpolation filter may be determined on the basisof a weight-related parameter ifact. For example, a coefficient of aninterpolation filter may be determined on the basis of a distancebetween a fractional pel positioned on an angular line and an integerpel (that is, an integer position of each of reference samples).

Equation 10 below shows a case in which the number of taps of a tapfilter is four.

$\begin{matrix}\begin{array}{l}{P( {x,y} ) = f(0)*P\_ ref\_ 1D( {x + iIdx - 1} ) + f(1)*P\_ ref\_ 1D} \\{( {x + iIdx} ) + f(2)*P\_ ref\_ 1D( {x + iIdx + 1} ) + f(3)*P\_ ref\_ 1D} \\( {x + iIdx + 2} )\end{array} & \text{­­­[Equation 10]}\end{matrix}$

As in the example shown in Equation 10, a prediction image for aprediction target sample may be obtained by interpolating multipleconsecutive reference samples. Herein, when at least one of Nconsecutive reference samples is not included in a one-dimensionalreference sample group, the value of the reference sample is replacedwith a predefined value or a value of a neighboring reference sample.For example, when a sample at a position (x+iIdx-1) is not included in aone-dimensional reference sample group, the value of the referencesample at the position is replaced with a predefined value or a value ofa nearby reference sample (for example, P_ref_1D(x+iIdx) ).Alternatively, when a sample at a position (x+iIdx+2) is not included ina one-dimensional reference sample group, a value of the referencesample at the position is replaced with a predefined value, apre-calculated value, or a value of a nearby reference sample (forexample, P_ref(x+iIdx+1)). Herein, the predefined value may be aninteger including 0. The pre-calculated value may be a value determinedby a bit depth. Alternatively, the predefined value may be calculated onthe basis of an average value, a minimum value, or a maximum value ofone or more reference samples.

A multi-tap filter may be a linear form. For example, a multi-tap filterof a linear form using multiple consecutive reference samples in ahorizontal or vertical direction may be applied. Alternatively, amulti-tap filter may be a polygonal form such as a rectangular form,cross form, or the like. For example, a multi-tap filter of a cross formusing a reference sample and reference samples adjacent to the referencesample in four directions may be used. The form of the multi-tap filtermay be variably determined on the basis of the size, the shape, or theintra prediction mode of the current block.

As shown in Equations 8 to 10, generating a prediction sample byinterpolating a reference sample with the use of the direction of intraprediction is referred to as an intra prediction sample interpolationtechnique.

In using the intra prediction sample interpolation technique, a largetap number of tap filters does not necessarily guarantee an improvementin prediction accuracy. For example, when a size of the current block isan asymmetric coding unit that one of the height or width issignificantly larger than the other, such as 2x16, or a block of smallsize, such as 4x4, using a tap filter of 4 taps or more may result inexcessive smoothing of the prediction image. Accordingly, a type of tapfilter may be adaptively determined according to a size, shape, or intraprediction mode of the current block. Here, a type of tap filter may bedefined by at least one of a number of taps, filter coefficients, filterstrength (strong/weak), filtering direction or a filter type. The numberof filter taps or the filter coefficient may be variably determinedaccording to the filter strength. In addition, depending on the type ofthe tap filter, an application direction of the tap filter, such ashorizontal interpolation, vertical interpolation, or horizontal andvertical interpolation, may be determined. The application direction ofthe tap filter may be variably set on the basis of lines (rows orcolumns) or samples in the current block.

Specifically, the type of tap filter to be used may be determined basedon the width or height of a current block. As an example, when at leastone of the width or height of the current block is smaller than apredefined value, an intra prediction sample interpolation technique maybe performed by using a 2-tap filter instead of a 4-tap filter. On theother hand, when both the width and height of the current block isgreater than or equal to the predetermined value, the intra predictionsample interpolation technique may be performed using the 4-tap filter.Here, the predefined value may represent a value such as 4, 8, or 16.

Alternatively, the type of tap filter to be used may be determinedaccording to whether the width and height of the current block are thesame. For example, when the width and height of the current block aredifferent values, the intra prediction sample interpolation techniquemay be performed using the 2-tap filter instead of the 4-tap filter. Onthe other hand, when the width and height of the current block have thesame value, the intra prediction sample interpolation technique may beperformed using the 4-tap filter.

Alternatively, the type of tap filter to be used may be determinedaccording to the ratio of the width and the height of the current block.For example, when the ratio of the width (w) to the height (h) of thecurrent block (i.e., w/h or h/w) is less than a predefined threshold,the intra prediction sample interpolation technique may be performedusing the 2-tap filter instead of the 4-tap filter On the other hand,when the ratio of the width and height of the current block is greaterthan or equal to the predefined threshold value, the intra predictionsample interpolation technique may be performed using the 4-tap filter.

Alternatively, the type of tap filter may be determined according to anintra prediction mode, a shape, or a size of the current block. Forexample, when the current block is a 2x16 type coding unit and the intraprediction mode of the current block is an intra prediction modebelonging to the horizontal range, the intra prediction sampleinterpolation technique may be performed using a tap filter having a tapnumber n. On the other hand, when the current block is a 2x16 typecoding unit and the intra prediction mode of the current block is anintra prediction mode belonging to the vertical direction range, theintra prediction sample interpolation technique may be performed using atap filter having a tap number m.

On the other hand, when the current block is a 16x2 type coding unit andthe intra prediction mode of the current block is the intra predictionmode belonging to the horizontal direction range, the intra predictionsample interpolation technique may be performed using a tap filterhaving a tap number n. On the other hand, when the current block is a16x2 type coding unit and the intra prediction mode of the current blockis the intra prediction mode belonging to the vertical direction range,the intra prediction sample interpolation technique may be performedusing a tap filter having a tap number m.

Here, the horizontal range may indicate a predetermined range includingthe intra prediction mode in the horizontal direction, and the verticalrange may indicate a predetermined range including the intra predictionmode in the vertical direction. For example, based on 35 intraprediction modes, the horizontal direction range may indicate an intraprediction mode between modes 11 and 18, and the vertical directionrange may indicate an intra prediction mode between modes 19 and 27.

In addition, n and m are constants greater than 0, and n and m may havedifferent values. Alternatively, n and m may be set to have the samevalue, but at least one of filter coefficients or filter intensities ofthe n tap filter and the m tap filter may be set differently.

When using a directional prediction mode or a DC mode, there may be aproblem in that image quality deterioration occurs at a block boundary.On the other hand, in a planar mode, the image quality deterioration ofthe block boundary is relatively smaller than those prediction modes.

Planar prediction may be performing weighted prediction of a firstprediction image and a second prediction image after generating thefirst prediction image in a horizontal direction and a second predictionimage in a vertical direction.

Herein, a first prediction image may be generated using referencesamples positioned on the same horizontal line as a prediction targetsample. Herein, the reference samples positioned on the same horizontalline as the prediction target sample may have the same y-axis coordinateas the prediction target sample. For example, the first prediction imagemay be generated on the basis of a weighted sum operation or an averageoperation of reference samples placed in the horizontal direction of theprediction target sample. Here, a weight applied to each of thereference samples may be determined depending on the distance to theprediction target sample, the size of the current block, or the like.The reference samples positioned on the same horizontal line as theprediction target sample may include a left reference sample (that is,the left reference sample having the y coordinate the same as that ofthe prediction target sample), and a right reference sample (that is,the right reference sample having the y coordinate the same as that ofthe prediction target sample). The right reference sample may be derivedfrom the top reference sample. For example, the right reference samplemay be derived by copying the value of the top reference sample that ispositioned on the same vertical line as the right reference sample, oron the basis of a weighted sum operation or an average operation ofmultiple top reference samples. Here, the top reference samplepositioned on the same vertical line as the right reference sample mayhave the x-axis coordinate that is the same as that of the rightreference sample. For example, the right reference sample adjacent tothe right side of the current block may be derived on the basis of thereference sample adjacent to the top right corner of the current block.Alternatively, the position of the top reference sample used to derivethe right reference sample may be variably determined according to theshape, the size of the current block, or the position of the predictiontarget sample.

A second prediction image may be generated using reference samplespositioned on the same vertical line as a prediction target sample.Here, the reference samples positioned on the same vertical line as theprediction target sample may have the same x-axis coordinate as theprediction target sample. For example, the second prediction image maybe generated on the basis of a weighted sum operation or an averageoperation of reference samples placed in the vertical direction of theprediction target sample. Here, a weight applied to each of thereference samples may be determined depending on the distance to theprediction target sample, the size of the current block, or the like.The reference samples positioned on the same vertical line as theprediction target sample may include a top reference sample (that is,the top reference sample having the x coordinate the same as that of theprediction target sample), and a bottom reference sample (that is, thebottom reference sample having the x coordinate the same as that of theprediction target sample). The bottom reference sample may be derivedfrom the left reference sample. For example, the bottom reference samplemay be derived by copying the value of the left reference sample that ispositioned on the same horizontal line as the bottom reference sample,or on the basis of a weighted sum operation or an average operation ofmultiple left reference samples. Herein, the left reference samplepositioned on the same horizontal line as the bottom reference samplemay have the y-axis coordinate that is the same as that of the bottomreference sample. For example, the bottom reference sample adjacent tothe bottom of the current block may be derived on the basis of thereference sample adjacent to the bottom left corner of the currentblock. Alternatively, the position of the top reference sample used toderive the bottom reference sample may be variably determined accordingto the size, the shape of the current block, or the position of theprediction target sample.

Alternatively, the right reference sample may be derived using both theleft reference sample and the top reference sample, or the bottomreference sample may be derived using both the left reference sample andthe top reference sample.

For example, the right reference sample may be derived on the basis of aweighted sum operation, a minimum value operation, a maximum valueoperation, or an average operation between the left reference samplepositioned on the same horizontal line as the right reference sample andthe top reference sample positioned on the same vertical line as theright reference sample. The bottom reference sample may be derived onthe basis of a weighted sum operation, a minimum value operation, amaximum value operation, or an average operation between the leftreference sample positioned on the same horizontal line as the bottomreference sample and the top reference sample positioned on the samevertical line as the bottom reference sample.

Alternatively, after the bottom right reference sample may be derivedusing the left reference sample and the top reference sample, thederived right reference sample may be used to derive the right referencesample and the bottom reference sample. The bottom right referencesample may be derived on the basis of a weighted sum operation or anaverage operation between the left reference sample positioned on thesame horizontal line as the bottom right reference sample and the topreference sample positioned on the same vertical line as the bottomright reference sample. For example, a bottom right reference sampleP(W, H) (herein, W denotes the width of the current block, and H denotesthe height of the current block) adjacent to the bottom right corner ofthe current block may be derived on the basis of a weighted sumoperation or an average operation between a top right reference sampleP(W, -1) and a bottom left reference sample P(-1, H). To derive thebottom right reference sample, the weights applied to the top rightreference sample and the bottom left reference sample, respectively, mayhave the same value, or may have different values according to thewidth/height of the current block. For example, when the width of thecurrent block is greater than the height, the weight applied to the topright reference sample has a greater value than the weight applied tothe bottom left reference sample has. Conversely, when the height of thecurrent block is greater than the width, the weight applied to thebottom left reference sample has a greater value than the weight appliedto the top right reference sample.

Afterward, the right reference sample may be derived by interpolatingthe bottom right reference sample and the top right reference sample. Inaddition, the bottom reference sample may be derived by interpolatingthe bottom right reference sample and the bottom left reference sample.Here, a coefficient of an interpolation filter may be determined on thebasis of at least one of the size of the current block, the shape of thecurrent block, the distance from the right reference sample to thebottom right reference sample, the distance from the right referencesample to the top right reference sample, the distance from the bottomreference sample to the bottom right reference sample, or the distancefrom the bottom reference sample to the bottom left reference sample.

The right reference sample or the bottom reference sample may be derivedusing a reference sample at a fixed position or a reference sample at aposition that is determined dependently on the prediction target sample.For example, the right reference sample may be derived using at leastone among a top reference sample (for example, a top right referencesample) at a fixed position and a left reference sample (for example, abottom left reference sample) at a fixed position regardless of theposition of the prediction target sample. Alternatively, the rightreference sample may be derived using at least one among a leftreference sample (for example, a left reference sample having the samey-axis coordinate as the prediction target sample) and a top referencesample (for example, a top reference sample having the same x-axiscoordinate as the prediction target sample) that are selected accordingto the prediction target sample. The bottom reference sample may bederived using at least one among a left reference sample (for example, abottom left reference sample) at a fixed position and a top referencesample (for example, a top right reference sample) at a fixed positionregardless of the position of the prediction target sample.Alternatively, the bottom reference sample may be derived using at leastone among a left reference sample (for example, a reference samplehaving the same y-axis coordinate as the prediction target sample) and atop reference sample (for example, a reference sample having the samex-axis coordinate as the prediction target sample) that are selectedaccording to the prediction target sample.

FIGS. 15A and 15B are diagrams illustrating an example of deriving aright reference sample or a bottom reference sample using multiplereference samples. It is assumed that the current block is a block in aWxH size.

Referring to FIG. 15A, first, a bottom right reference sample P(W, H)may be generated on the basis of a weighted sum operation or an averageoperation of a top right reference sample P(W, -1) and a bottom leftreference sample P(-1, H) of the current block. Herein, weights appliedto the top right reference sample and the bottom left reference sample,respectively, may have the same values. Alternatively, weights appliedto the top right reference sample and the bottom left reference sample,respectively, may be determined on the basis of the width (W) and theheight (H) of the current block. For example, the weight applied to thetop right reference sample may be determined to be W/ (W+H), and theweight applied to the bottom left reference sample may be determined tobe H/ (W+H) . Accordingly, when the current block is in a square shape,a bottom right reference sample is derived by applying the same weightsto the top right reference sample and the bottom left reference sample,respectively. Conversely, when the current block is in a non-squareshape, a bottom right reference sample is derived by applying differentweights to the top right reference sample and the bottom left referencesample, respectively.

A right reference sample P(W, y) for the prediction target sample (x, y)may be generated on the basis of the bottom right reference sample P(W,H) and the top right reference sample P(W, -1). For example, the rightprediction sample P(W, y) may be acquired on the basis of a weighted sumoperation or an average operation of the bottom right reference sampleP(W, H) and the top right reference sample P(W, -1). In addition, abottom reference sample P(x, H) for the prediction target sample (x, y)may be generated on the basis of the bottom right reference sample P(W,H) and the bottom left reference sample P(-1, H). For example, thebottom reference sample P(x, H) may be acquired on the basis of aweighted sum operation or an average operation of the bottom rightreference sample P(W, H) and the bottom left reference sample P(-1, H).

As shown in FIG. 15B, a first prediction sample P_(h)(x, y) and a secondprediction sample P_(v)(x, y) for a prediction target sample may begenerated using a right reference sample and a bottom reference sample.Herein, the first prediction sample P_(h)(x, y) may be generating on thebasis of a weighted sum operation of the left reference sample P(-1, y)and the right reference sample P(W, y). The second prediction sampleP_(v)(x, y) may be generated on the basis of a weighted sum operation ofthe top reference sample P(x, -1) and the bottom reference sample P(x,H).

FIGS. 16 and 17 are diagrams illustrating an example of deriving a rightreference sample and a bottom reference sample for a non-square blockaccording to an embodiment of the present invention.

As in the example shown in FIG. 16 , when the current block is anon-square block in a (N/2)xN size, a right reference sample is derivedon the basis of a top reference sample (for example, a top rightreference sample P(N/2, -1)) placed on the same vertical line as theright reference sample, and a bottom reference sample is derived on thebasis of a left reference sample (for example, a bottom left referencesample P(-1, N)) placed on the same horizontal line as the bottomreference sample.

Alternatively, a right reference sample or a bottom reference sample maybe derived on the basis of at least one among a weighted sum operation,an average operation, a minimum value operation, and a maximum valueoperation of the top right reference sample P(N/2, -1) and the bottomleft reference sample P(-1, N). For example, a right reference samplemay be derived on the basis of a weighted sum operation or an averageoperation of the top right reference sample P(N/2, -1) and the bottomleft reference sample P(-1, N). Alternatively, a bottom right referencesample P(N/2, N) may be derived on the basis of a weighted sum operationor an average operation of the top right reference sample P(N/2, -1) andthe bottom left reference sample P(-1, N), and a right reference samplemay be derived by interpolating the bottom right reference sample P(N/2,N) and the top right reference sample P(N/2, -1).

A bottom reference sample may be derived on the basis of a weighted sumoperation or an average operation of the top right reference sampleP(N/2, -1) and the bottom left reference sample P(-1, N). Alternatively,a bottom right reference sample P(N/2, N) may be derived on the basis ofa weighted sum operation or an average operation of the top rightreference sample P(N/2, -1) and the bottom left reference sample P(-1,N), and a bottom reference sample may be derived by interpolating thebottom right reference sample P(N/2, N) and the bottom left referencesample P(-1, N).

As in the example shown in FIG. 17 , when the current block is anon-square block in an Nx(N/2) size, a right reference sample is derivedon the basis of a top reference sample (for example, a top rightreference sample P(N, -1)) placed on the same vertical line as the rightreference sample, and a bottom reference sample is derived on the basisof a left reference sample (for example, a bottom left reference sampleP(-1, N/2)) placed on the same horizontal line as the bottom referencesample.

Alternatively, a right reference sample or a bottom reference sample maybe derived on the basis of at least one among a weighted sum operation,an average operation, a minimum value operation, and a maximum valueoperation of the top left reference sample P(N, -1) and the bottom leftreference sample P(-1, N/2). For example, a right reference sample maybe derived on the basis of a weighted sum operation or an averageoperation of the top right reference sample P(N, -1) and the bottom leftreference sample P(-1, N/2). Alternatively, a bottom right referencesample P(N, N/2) may be derived on the basis of a weighted sum operationor an average operation of the top right reference sample P(N, -1) andthe bottom left reference sample P(-1, N/2), and a right referencesample may be derived by interpolating the bottom right reference sampleP(N, N/2) and the top right reference sample P(N, -1).

A bottom reference sample may be derived on the basis of a weighted sumoperation or an average operation of the top right reference sample P(N,-1) and the bottom left reference sample P(-1, N/2). Alternatively, abottom right reference sample P(N, N/2) may be derived on the basis ofthe top right reference sample P(N, -1) and the bottom left referencesample P(-1, N/2), and a bottom reference sample may be derived byinterpolating the bottom right reference sample P(N, -1) and the bottomleft reference sample P(-1, N/2).

As described above with reference to FIGS. 15 to 17 , the bottomreference sample and the right reference sample may be derived on thebasis of at least one among the left reference sample placed on the samehorizontal line as the bottom reference sample, and the top referencesample of the current block placed on the same vertical line as theright reference sample. Differently from the above description, theright reference sample or the bottom reference sample may be derivedusing at least one among a top middle reference sample and a left middlereference sample.

For example, a bottom middle reference sample may be derived using a topmiddle reference sample. A bottom reference sample between a bottommiddle reference sample and a bottom left reference sample may bederived through interpolation of the bottom middle reference sample andthe bottom left reference sample. A bottom reference sample between abottom middle reference sample and a bottom right reference sample maybe derived through interpolation between the bottom middle referencesample and the bottom right reference sample. Alternatively, a bottomreference sample between a bottom middle reference sample and a bottomright reference sample may be derived through extrapolation between abottom left reference sample and a bottom middle reference sample.

For example, a right middle reference sample may be derived using a leftmiddle reference sample. A right reference sample between a right middlereference sample and a top left reference sample may be derived throughinterpolation of a right middle reference sample and a top rightreference sample. A right reference sample between a right middlereference sample and a bottom right reference sample may be derivedthrough interpolation between a right middle reference sample and abottom right reference sample. Alternatively, a right reference samplebetween a right middle reference sample and a bottom right referencesample may be derived through extrapolation between a top rightreference sample and a right middle reference sample.

Whether to derive a right reference sample or a bottom reference sampleby using a right middle reference sample or a bottom middle referencesample may be determined on the basis of at least one among the size andthe shape of the current block. For example, when the width of thecurrent block is greater than a predefined value or when the currentblock is a non-square block of which the width is greater than theheight, a bottom reference sample is derived using a bottom middlereference sample. When the height of the current block is greater than apredefined value or when the current block is a non-square block ofwhich the height is greater than the width, a right reference sample isderived using a right middle reference sample.

For example, when the current block is a square block in an NxN size, aright reference sample is derived on the basis of a top right referencesample P(N, -1) and a bottom reference sample is derived on the basis ofa bottom left reference sample P(-1, N). Alternatively, when the currentblock is a square block in an NxN size, a bottom right reference sampleis derived on the basis of at least one among a weighted sum operation,an average operation, a minimum value operation, and a maximum valueoperation of a top right reference sample P(N, -1) and a bottom leftreference sample P(-1, N), and a right reference sample and a bottomreference sample are derived using the bottom right reference sample.

Conversely, when the current block is a non-square block in an Nx2/Nsize, a bottom middle reference sample P(N/2, N/2) is derived on thebasis of a top middle reference sample P(N/2, -1) and a bottom leftreference sample P(-1, N/2). A bottom reference sample may be derived onthe basis of interpolation/extrapolation between a bottom middlereference sample and a bottom left reference sample, orinterpolation/extrapolation between a bottom middle reference sample anda bottom right reference sample. Alternatively, when the current blockis a non-square block in an N/2xN size, a right middle reference sampleP(N/2, N/2) is derived on the basis of a top right reference sampleP(N/2, -1) and a left middle reference sample P(-1, N/2). A rightreference sample may be derived on the basis ofinterpolation/extrapolation between a right middle reference sample anda top right reference sample, or interpolation/extrapolation between aright middle reference sample and a bottom right reference sample.

A first prediction image may be acquired on the basis of weightedprediction of reference samples placed on the same horizontal line as aprediction target sample. In addition, a second prediction image may beacquired on the basis of weighted prediction of reference samples placedon the same vertical line as a prediction target sample.

Alternatively, a first prediction image or a second prediction image maybe generated on the basis of at least one among an average operation, aminimum value operation, and a maximum value operation between referencesamples.

A method of deriving a reference sample, or a method of acquiring afirst/second prediction image may be predefined in the encoder/decoder.Alternatively, a method of deriving a reference sample, or a method ofacquiring a first/second prediction image may be set differentlydepending on whether a prediction target sample is included in apredetermined region within the current block, the size, the shape ofthe current block, or the like. For example, depending on the positionof the prediction target sample, the number of reference samples or thepositions of the reference samples used to utilize the right or bottomreference sample may be determined differently. Alternatively, dependingon the position of the prediction target sample, the number of referencesamples or the weight applied to each of the reference samples used toderive the first prediction image or the second prediction image may beset differently.

For example, a first prediction image for prediction target samplesincluded in a predetermined region may be acquired using a rightreference sample that is derived using only a top reference sample (forexample, a top right reference sample). Conversely, a first predictionimage for prediction target samples included outside the predeterminedregion may be acquired using a right reference sample that is derived onthe basis of a weighted sum operation or an average operation of a topreference sample and a left reference sample.

A second prediction image for prediction target samples included in apredetermined region may be acquired using a right reference sample thatis derived using only a left reference sample (for example, a bottomleft reference sample). Conversely, a second prediction image forprediction target samples included outside the predetermined region maybe acquired using a right reference sample that is derived byinterpolating a bottom right reference sample and a top referencesample. Herein, the bottom right reference sample may be derived on thebasis of a weighted sum operation or an average operation of a topreference sample (for example, a top right reference sample) and a leftreference sample (for example, a bottom left reference sample).

For example, in the example shown in FIG. 16 , when the current block isa non-square block of which the height is longer than the width, a firstprediction image of a prediction target sample at a position (x, y)included in a predetermined region within the current block is acquiredon the basis of a right reference sample derived from P(N/2, -1). Theright reference sample may be generated by copying a value of areference sample P(N/2, -1). Conversely, a first current blockprediction image of a prediction target sample at a position (x′, y′)included outside the predetermined region may be acquired on the basisof a right reference sample that is derived on the basis of a weightedsum operation or an average operation of P (N/2, -1) and P(-1, N). Theright reference sample may be acquired by interpolating a bottom rightreference sample P(N/2, N) and a top right reference sample P(N/2, -1)that are derived on the basis of P(N/2, -1) and P(-1, N).

Alternatively, as in the example shown in FIG. 17 , when the currentblock is a non-square block of which the width is longer than theheight, a second prediction image of a prediction target sample at aposition (x, y) included in a predetermined region within the currentblock is acquired on the basis of a bottom reference sample derived fromP(-1, N/2). The bottom reference sample may be generated by copying avalue of a reference sample P(-1, N/2). Conversely, a second predictionimage of a prediction target sample at a position (x′, y′) includedoutside the predetermined region within the current block may beacquired on the basis of a bottom reference sample that is derived onthe basis of a weighted sum operation or an average operation of P(N,-1) and P(-1, N/2). The bottom reference sample may be acquired byinterpolating a bottom right reference sample P(N, N/2) and a bottomleft reference sample P(-1, N/2) that are derived on the basis of P (N,-1) and P(-1, N/2) .

A first prediction image and/or a second prediction image of theprediction target samples included in a predetermined region may begenerated on the basis of a weighted sum operation of reference samples.A first prediction image and/or a second prediction image of theprediction target samples outside the predetermined region may begenerated on the basis of an average operation, a minimum valueoperation, or a maximum value operation of reference samples.Alternatively, a first prediction image and/or a second prediction imageof the prediction target samples outside the predetermined region may beacquired using only any one of reference samples at a predefinedposition. For example, in the example shown in FIG. 16 , when thecurrent block is a non-square block of which the height is longer thanthe width, a first prediction image of a prediction target sample at aposition (x, y) included in a predetermined region within the currentblock is acquired on the basis of a weighted sum operation or an averageoperation of a right reference sample P(N/2, y) derived from P(N/2, -1)and a left reference sample at a position P(-1, y). Conversely, a firstprediction image of a prediction target sample at a position (x′, y′)not included in the predetermined region may be acquired on the basis ofa right reference sample P(N/2, y′) derived from P(N/2, -1) or of a leftreference sample at a position P(-1, y′).

Alternatively, in the example shown in FIG. 17 , when the current blockis a non-square block of which the width is longer than the height, asecond prediction image of a prediction target sample at a position (x,y) included in a predetermined region within the current block isacquired on the basis of a weighted sum operation or an averageoperation of a bottom reference sample P(x, N/2) derived from P(-1, N/2)and a top reference sample at a position P(x, -1). Conversely, aprediction target sample at a position (x′, y′) not included in thepredetermined region may be acquired on the basis of a bottom referencesample P(x′, N/2) derived from P(-1, N/2) or of a top reference sampleat a position P(-1, y′).

The predetermined region may be one or more lines (for example, rows orcolumns) adjacent to the boundary of the current block, or a remainingregion excluding the one or more lines. The boundary of the currentblock, which is a criterion for defining a predetermined region, may beat least one among a left boundary, a right boundary, a top boundary,and a bottom boundary. In addition, the number or positions of theboundaries used to define the predetermined region may be setdifferently depending on the shape of the current block. For example,when the current block is in a non-square shape of which the width isgreater than the height, a predetermined region is defined on the basisof a left boundary or a right boundary. Conversely, when the currentblock is in a non-square shape of which the height is greater than thewidth, a predetermined region is defined on the basis of a top boundaryor a right boundary.

Alternatively, a block in contact with one corner of the current blockmay be defined as a predetermined region. Herein, the size and the shapeof the predetermined region may be determined on the basis of at leastone among the size and the shape of the current block.

Under a planar mode, a final prediction image may be derived on thebasis of a weighted sum operation, an average operation, a minimum valueoperation, or a maximum value operation of a first prediction image anda second prediction image.

For example, Equation 11 below represents an example in which a finalprediction image P is generated on the basis of a weighted sum of afirst prediction image P_(h) and a second prediction image P_(v).

$\begin{matrix}{P( {x,y} ) = ( {w*P_{h}( {x,y} ) + ( {1\text{-}w} )*P_{v}( {x,y} ) + N} ) > > ( {\text{log2}(N) + 1} )} & \text{­­­[Equation 11]}\end{matrix}$

In Equation 11 above, a prediction weight w may vary depending on theshape, the size of the current block, the position of the predictiontarget sample, or the like. Specifically, the prediction weight w may bedetermined on the basis of at least one among the width of the currentblock, the height of the current block, and a ratio between the widthand the height. For example, when the current block is a square block, aprediction weight w is set so that the same weight is applied to a firstprediction image and a second prediction image. That is, when thecurrent block is in a square shape, a prediction weight w has a value of½.

Conversely, when the current block is a non-square block of which thewidth is greater than the height, a prediction weight w is set so that agreater weight is applied to a first prediction image than to a secondprediction image. For example, when the current block is a non-squareblock (for example, Nx(N/2)) of which the width is greater than theheight, a prediction weight w is set to ¾. Accordingly, the weight of ¾may be applied to the first prediction image P_(h), and the weight of ¼may be applied to the second prediction image P_(v). When the currentblock is a non-square block of which the height is greater than thewidth, a prediction weight w is set so that a greater weight is appliedto a first prediction image than to a second prediction image. Forexample, when the current block is a non-square block (for example,(N/2)xN) of which the height is greater than the width, a predictionweight w is set to ¼. Accordingly, the weight of ¼ may be applied to thefirst prediction image P_(h), and the weight of ¾ may be applied to thesecond prediction image P_(v).

In FIG. 11 , it is described that a reference sample line is constructedusing top reference samples of which the y-coordinate values are smallerthan those of the topmost row of the current block, and using leftreference samples of which the x-coordinate values are smaller thanthose of the leftmost column of the current block.

According to an embodiment of the present invention, at least one ofmultiple reference sample line may be set to include a pre-reconstructedsample within the current block or a prediction sample within thecurrent block. For example, a first reference sample line may includeleft reference samples and/or top reference samples. A second referencesample line may include a pre-reconstructed or predicted sample withinthe current block.

Alternatively, at least one of multiple reference sample lines may beset to include right reference samples and/or bottom reference samples.For example, a first reference sample line may include left referencesamples and/or top reference samples. A second reference sample line mayinclude right reference samples and/or bottom reference samples of thecurrent block.

FIGS. 18A and 18B are diagrams illustrating an example of multiplereference sample lines.

A first reference sample line may include: reference samples of whichthe y-axis coordinate values are smaller than that of a predictiontarget sample included in the topmost row of the current block; andreference samples of which the x-axis coordinate values are smaller thanthat of a prediction target sample included in the leftmost column ofthe current block. A reference sample that the first reference sampleline includes is referred to as a “first reference sample”.

A second reference sample line may include: reference samples of whichthe y-axis coordinate values are greater than that of a predictiontarget sample included in bottommost row of the current block; andreference samples of which the x-axis coordinate values are greater thanthat of a prediction target sample included in the rightmost column ofthe current block. A reference sample that the second reference sampleline includes is referred to as a “second reference sample”.

For example, among top reference samples starting from P(-1, -1) toP(2W-1, -1), left reference samples starting from P(-1, -1) to P(-1,2H-1), right reference samples starting from P(-W, -1) to P(W, H), andbottom reference samples starting from P(-1, H) to P (W, H), the firstreference sample line may include the top reference samples startingfrom P(-1, -1) to P(2W-1, -1), and the left reference samples startingfrom P(-1, -1) to P(-1, 2H-1). The second reference sample line mayinclude top reference samples starting from P(W, -1) to P(2W-1, -1),left reference samples starting from P(-1, H) to P(-1, 2H-1), rightreference samples starting from P(-W, -1) to P(W, H), and bottomreference samples starting from P(-1, H) to P(W, H).

As in the example shown in FIGS. 18A and 18B, it is possible that atleast one reference sample is set to be included in multiple referencesample lines. In FIGS. 18A and 18B, it is illustrated that a firstreference sample line and a second reference sample line include thefollowing in common: left reference samples of which the y-axiscoordinate values are greater than that of a prediction target sampleincluded in the bottommost row of the current block; and top referencesamples of which the x-axis coordinate values are greater than that of aprediction target sample included in the rightmost column of the currentblock.

Differently from the shown example, it may be set that only the firstreference sample line or the second reference sample line includes theleft reference samples and/or the top reference samples. For example, afirst reference sample line may be constructed in such a manner as toinclude the left reference samples, and a second reference sample linemay be constructed in such a manner as to include the top referencesamples.

The construction of multiple reference sample line may be determined onthe basis of at least one among the size, the shape, and the intraprediction mode of the current block. For example, when the currentblock is a non-square block of which the width is greater than theheight, a first reference sample line includes the top reference samplesand a second reference sample line includes the left reference samples.Conversely, when the current block is a non-square block of which theheight is greater than the width, a first reference sample line includesthe left reference samples and a second reference sample line includesthe top reference samples.

As in the example shown in FIGS. 18A and 18B, it is possible that atleast one reference sample is set to be included in multiple referencesample lines.

The construction of the first reference sample line and the secondreference sample line shown in FIGS. 18A and 18B are merely an exampleof the present invention. A first reference sample line and a secondreference sample line may be constructed using a method different fromthe example shown in FIGS. 18A and 18B. For example, in the exampleshown in FIGS. 18A and 18B, it is shown that a first reference sampleline and a second reference sample line are constructed using referencesamples included in a row/column adjacent to the current block.Differently from the shown example, a first reference sample line may beset to include reference samples included in a row/column adjacent tothe current block. A second reference sample line may be set to includereference samples included in a row/column not adjacent to the currentblock.

FIGS. 18A and 18B shows two reference sample lines, but a larger numberof reference sample lines may be constructed. For example, intraprediction of the current block may be performed using at least one ofthree or more reference sample lines.

Whether to perform intra prediction using the second reference samplemay be determined on the basis of at least one among the size of thecurrent block, the shape of the current block, the intra prediction modeof the current block, and the position of the prediction target sample.For example, whether to use the second reference sample may bedetermined depending on whether the intra prediction mode of the currentblock is a vertical mode, a horizontal mode, or a diagonal directionmode. For example, when the intra prediction mode of the current blockis a predefined mode, a prediction image of the prediction target sampleis acquired on the basis of a weighted sum operation or an averageoperation of the first reference sample and the second reference sample.The predefined mode may include at least one among a vertical mode, ahorizontal mode, a diagonal direction mode, and a planar mode.Conversely, when the intra prediction mode of the current block is notthe predefined mode, a prediction image of the prediction target sampleis acquired on the basis of the first reference sample.

For example, whether to use the second reference sample may bedetermined on the basis of whether the prediction target sample isincluded in a predetermined region within the current block. Aprediction image of the prediction target sample included in apredetermined region within the current block may be derived on thebasis of a weighting operation or an average operation between the firstreference sample and the second reference sample, or may be derived onthe basis of the second reference sample. Conversely, a prediction imageof the prediction target sample not included in the predetermined regionwithin the current block may be derived on the basis of the firstreference sample.

Alternatively, information indicating whether to use the secondreference sample may be signaled through a bitstream. The informationmay be a one-bit flag, an index used to determine the intra predictionmode of the current block, or the like.

Alternatively, whether to use the second reference sample may bedetermined on the basis of whether the second reference sample is usedin the neighboring block of the current block.

At least one second reference sample may be derived on the basis of thefirst reference sample. For example, second reference samples may beconstructed by changing the order of first reference samples.Alternatively, at least one second reference sample may be derived usinga first reference sample at a predefined position.

FIG. 19 is a diagram illustrating an example of deriving at least onesecond reference sample by using a first reference sample. FIG. 19 showsa method of deriving a right reference sample having the coordinates (W,y) (herein, y ranges from -1 to H) and a bottom reference sample havingthe coordinates (x, H) (herein, x ranges from -1 to W) in the secondreference sample line. For convenience of description, a top/leftreference sample is denoted by the letter “r”, and a right/bottomreference sample is denoted by the letter “P”.

First, a bottom right reference sample P(W, H) may be derived on thebasis of a top right reference sample r(W, -1) and a bottom leftreference sample r(-1, H) of the current block. Specifically, the bottomright reference sample may be derived on the basis of a weighted sumoperation or an average operation of the top right reference sample andthe bottom left reference sample. Equation 12 below represents anexample of deriving the bottom right reference sample.

$\begin{matrix}{P( {W,H} ) = \frac{W \times r( {W, - 1} ) + H \times r( {- 1,H} )}{W + H}} & \text{­­­[Equation 12]}\end{matrix}$

As shown in Equation 12 above, a bottom right reference sample may becalculated on the basis of a weighted sum of a top right referencesample and a bottom left reference sample. Herein, a weight applied tothe top right reference sample and the bottom left reference sample maybe determined on the basis of the width and the height of the currentblock. As in the example shown in Equation 12, the weight of W/(W+H) maybe applied to the top right reference sample, and the weight of H/(W+H)may be applied to the bottom left reference sample. Accordingly, whenthe current block is in a square shape, the weights applied to the topright reference sample and the bottom left reference sample have thesame value. Conversely, when the current block is in a non-square shape,the weights applied to the top right reference sample and the bottomleft reference sample have different values. However, the weight settingmethod shown in Equation 12 is only an example of the present invention,and the present invention is not limited thereto. In addition to theexample shown in Equation 12, the weights may be determined on the basisof at least one among the size, the shape, the intra prediction mode ofthe current block, availability of a reference sample, availability of aneighboring block, whether a neighboring block is encoded using an intraprediction mode, and the intra prediction mode of the neighboring block.

A right reference sample between the bottom right reference sample P(W,H) and the top right reference sample r(W, -1) may be acquired byinterpolating the bottom right reference sample and the top rightreference sample. Equation 13 represents an example of deriving a rightreference sample by interpolating a bottom right reference sample and atop right reference sample.

$\begin{matrix}{P,( {W,y} ) = \frac{( {H - 1 - y} ) \times r( {W, - 1} ) + ( {y + 1} ) \times P( {W,H} )}{H}} & \text{­­­[Equation 13]}\end{matrix}$

As shown in Equation 13 above, a right reference sample P.(W, y)(herein, y is an integer ranging from zero to the CU height (cu_height))may be acquired through weighted prediction of a top right referencesample r(W, -1) and a bottom right reference sample P(W, H). A weightapplied to the top right reference sample and the bottom right referencesample may be determined on the basis of at least one among the width,the height of the current block, and the position of the right referencesample. As in the example shown in Equation 13, the weight of (H-1-y)/Hmay be applied to the top right reference sample, and the weight of(y+1)/H may be applied to the bottom right reference sample. However,the weight setting method shown in Equation 13 is only an example of thepresent invention, and the present invention is not limited thereto. Inaddition to the example shown in Equation 13, the weights may bedetermined on the basis of at least one among the size, the shape, theintra prediction mode of the current block, availability of a referencesample, availability of a neighboring block, whether a neighboring blockis encoded using an intra prediction mode, and the intra prediction modeof the neighboring block.

A bottom reference sample between the bottom right reference sample P(W,H) and the bottom left reference sample r(-1, H) may be acquired byinterpolating the bottom right reference sample and the bottom leftreference sample. Equation 14 represents an example of deriving a bottomreference sample by interpolating a bottom right reference sample and abottom left reference sample.

$\begin{matrix}{P,( {x,H} ) = \frac{( {W - 1 - x} ) \times r( {- 1,H} ) + ( {x + 1} ) \times P( {W,H} )}{W}} & \text{­­­[Equation 14]}\end{matrix}$

As shown in Equation 14 above, a bottom reference sample P_(b)(x, H)(herein, x is an integer ranging from zero to the CU width (cu_width))may be acquired through weighted prediction of a bottom left referencesample r(-1, H) and a bottom right reference sample P(W, H). A weightapplied to the bottom left reference sample and the bottom rightreference sample may be determined on the basis of at least one amongthe width, the height of the current block, and the position of thebottom reference sample. As in the example shown in Equation 14, theweight of (W-1-x) /W may be applied to the bottom left reference sample,and the weight of the (x+1) /W may be applied to the bottom rightreference sample. However, the weight setting method shown in Equation14 is only an example of the present invention, and the presentinvention is not limited thereto. In addition to the example shown inEquation 14, the weights may be determined on the basis of at least oneamong the size, the shape, the intra prediction mode of the currentblock, availability of a reference sample, availability of a neighboringblock, whether a neighboring block is encoded using an intra predictionmode, and the intra prediction mode of the neighboring block.

In addition to the example shown in FIG. 19 , the right reference sampleand the bottom reference sample may be derived by applying theembodiments described with reference to FIGS. 16 and 17 above.

Alternatively, at least one second reference sample may be derived onthe basis of a pre-reconstructed or predicted sample of a block adjacentto at least one among the right side, the bottom, and the bottom rightof the current block.

Alternatively, at least one second reference sample may be set to adefault value predefined in the encoder and the decoder. For example, atleast one among a bottom right reference sample P(W, H), a right middlesample P(W, H/2), and a bottom middle sample P(W/2, H) may be set to adefault value. As in the above-described example, a second referencesample, such as a right reference sample, a bottom reference sample, andthe like, may be derived using first reference samples at fixedpositions, such as a top right reference sample, a bottom left referencesample, and the like. Differently from the above-described example, asecond reference sample may be derived using a first reference sampleother than the top right reference sample and/or the bottom leftreference sample. For example, a right reference sample and a bottomreference sample may be derived using a first reference sample, such asthe top middle reference sample of the current block, the left middlesample of the current block, or the like.

Alternatively, according to the intra prediction mode of the currentblock, a first reference sample used to derive a second reference samplemay be determined. For example, a right reference sample and/or a bottomreference sample may be derived on the basis of a left reference sampleand/or a top reference sample that is specified by the direction of theintra prediction mode of the current block.

Alternatively, a second reference sample may be determined usingmultiple left reference samples and/or multiple top reference samples.For example, at least one among a right reference sample, a bottomreference sample, and a bottom right reference sample may be generatedon the basis of a weighted sum, an average value, a maximum value, or aminimum value of multiple left reference samples, or may be generated onthe basis of a weighted sum, an average value, a maximum value, or aminimum value of multiple top reference samples.

Alternatively, a second reference sample may be generated by copying afirst reference sample. The position of the copied first referencesample may have a value fixed in the encoder/decoder. Alternatively, theposition of the copied first reference sample may be adaptivelydetermined according to the size, the shape, the intra prediction modeof the current block, or the position of the second reference sample.

In the above-described example, although it is described that the numberof bottom reference samples is W and the number of right referencesamples is H, a larger number of bottom reference samples and/or rightreference samples may be derived. For example, a bottom reference sampleline may be constructed in such a manner that the number of topreference samples is the same as the number of the bottom referencesamples. For example, the bottom reference sample line may include P(-1,H), P(2W-1, H), and reference samples therebetween. A right referencesample line may be constructed in such a manner that the number of leftreference samples is the same as the number of right reference samples.For example, the right reference sample line may include P(W, -1), p(W,2H-1), and reference samples therebetween.

A bottom reference sample of which the x-coordinate value is greaterthan that of a bottom right reference sample P(W, H) may be generated byextrapolating a bottom left reference sample r(-1, H) and the bottomright reference sample P(W, H), or may be generated by interpolating thebottom right reference sample P(W, H) and a bottom rightmost referencesample P(2W-1, H). The bottom rightmost reference sample may begenerated by copying a top rightmost reference sample r(2W-1, -1), ormay be generated on the basis of a weighted sum operation or an averageoperation between the top rightmost reference sample and the bottomright reference sample, or between the top rightmost reference sampleand the bottom left reference sample. A right reference sample havingthe y coordinate greater than H may be generated by extrapolating a topright reference sample and a bottom right reference sample, or may begenerated by interpolating a bottom right reference sample P(W, H) and abottommost right reference sample P(W, 2H-1). Herein, the bottommostright reference sample may be generated by copying a bottommost leftreference sample r (-1, 2H-1), or may be generated through a weightedsum operation between the bottommost left reference sample and a topleft reference sample.

The first reference sample line and/or the second reference sample linemay be placed in one dimension.

Intra prediction of the current block may be performed using at leastone of multiple reference sample lines.

Specifically, at least one of multiple reference sample lines may beselected, and a reference sample included in the selected referencesample line may be used to calculate a prediction value of a predictiontarget sample.

The selection may be based on information signaled through a bitstream.The information may be index information that specifies at least one ofmultiple reference sample lines.

Alternatively, the selection may be based on at least one of multiplereference sample lines, and based on the size, the shape, the position,or the intra prediction mode of the current block. For example, when atleast one among the width, the height, and the size of the current blockis smaller than a predefined value, the first reference sample line isselected. For example, when the current block is in contact with a topboundary of a CTU or tile, the first reference sample line is selected.For example, when a predefined intra prediction mode is selected as theintra prediction mode of the current block, the first reference sampleline or the second reference sample line is selected.

Alternatively, intra prediction of the current block may be performed byselecting multiple reference sample lines.

On the basis of the position of the prediction target sample and/or theintra prediction mode, a reference sample to be used to calculate aprediction value of the prediction target sample may be determined. Thatis, on the basis of the position of the prediction target sample and/orthe intra prediction mode, a first reference sample and a secondreference sample for calculating the prediction value may be determined.

A prediction value of the prediction target sample within the currentblock may be acquired on the basis of at least one among a firstreference sample included in a first reference sample line, and a secondreference sample included in a second reference sample line. Theposition of the first reference sample and/or the position of the secondreference sample may be determined on the basis of at least one amongthe shape, the size of the current block, the position of the predictiontarget sample, and the intra prediction mode. For example, the firstreference sample for the prediction target sample may be determinedalong the forward direction of the intra prediction mode of the currentblock. In addition, the second reference sample for the predictiontarget sample may be determined along the backward direction of theintra prediction mode of the current block.

Alternatively, the position of the second reference sample may bedetermined on the basis of the position of the first reference sample,or the position of the first reference sample may be determined on thebasis of the position of the second reference sample. For example, atleast one of reference samples that have the same x coordinate or thesame y coordinate as a first basic reference sample may be determined asa second basic reference sample. Alternatively, a second basic referencesample may be determined by adding offset to the x coordinate and/or they coordinate of a first basic reference sample. Herein, the offset mayhave a value fixed in the encoder/decoder. Alternatively, the offset maybe adaptively determined depending on the size, the shape, or the intraprediction mode of the current block.

Alternatively, a position of a first basic reference sample and/or asecond basic reference sample for calculating a prediction value may bedetermined on the basis of the position of the prediction target sample.For example, a reference sample having the same x coordinate or the samey coordinate as the prediction target sample may be determined as afirst reference sample and/or a second basic reference sample forcalculating a prediction value. Alternatively, a reference sample (thatis, a reference sample that has, as the x coordinate, a result value ofadding offset to the x coordinate of the prediction target sample, or areference sample that has, as the y coordinate, a result value of addingoffset to the y coordinate of the prediction target sample) at aposition corresponding to a result obtained by adding or subtractingoffset from the x coordinate or y coordinate of the prediction targetsample may be determined as a first reference sample and/or a secondreference sample. Herein, the offset may have a value fixed in theencoder/decoder. Alternatively, the offset may be adaptively determineddepending on the size, the shape, or the intra prediction mode of thecurrent block.

A prediction value of the prediction target sample may be acquired usingat least one among a first prediction image acquired on the basis of thefirst reference sample, and a second prediction image acquired on thebasis of the second reference sample. Herein, the first prediction imagemay be generated on the basis of the embodiments described withreference to Equation 8 to Equation 10.

The second prediction image may be generated by interpolating or copyingthe second reference sample specified according to the slope of theintra prediction mode of the current block. For example, Equation 15represents an example of deriving a second prediction image by copying asecond reference sample.

$\begin{matrix}{P_{2}( {x,y} ) = P\_ 2nd\_ 1D( {x + iIdx + 1 + f} )} & \text{­­­[Equation 15]}\end{matrix}$

In Equation 15, P₂(x, y) denotes a second prediction image, andP_2nd_1D(x+iIdx+1+f) denotes a second reference sample.

When the slope of the intra prediction mode of the current block isunable to be represented with only one second reference sample, a secondprediction image is generated by interpolating multiple second referencesamples. Specifically, when the virtual angular line extending from theprediction target sample does not pass an integer-pel position (that is,a reference sample at an integer position), a second prediction image isacquired using multiple reference samples. A second prediction image forthe prediction target sample may be acquired by interpolating areference sample adjacent to the position where the virtual angular linepasses, and at least one neighboring reference sample adjacent to thereference sample. Herein, the neighboring sample may be adjacent to thetop, the bottom, the left side, or the right side of the referencesample. Equation 16 represents an example of acquiring a secondprediction image by interpolating a second reference samples.

$\begin{matrix}\begin{array}{l}{P_{2}( {x,y} ) = \frac{( {\text{X}2 - \text{I}_{\text{act}}} )}{\text{X}2} \times P\_ 2nd\_ 1D( {x + iIdx + 1 + f} ) + \frac{\text{t}_{pwtt}}{\text{X}2} \times P\_ 2nd\_ 1D} \\( {x + iIdx + 2 + f} )\end{array} & \text{­­­[Equation 16]}\end{matrix}$

A coefficient of an interpolation filter may be determined on the basisof a weight-related parameter ifact. For example, a coefficient of aninterpolation filter may be determined on the basis of a distancebetween a fractional pel positioned on an angular line and an integerpel (that is, an integer position of a reference sample).

In Equation 16, an interpolation filter of which the number of taps istwo is illustrated, but a prediction value may be calculated using aninterpolation filter of which the number of taps is greater than two.

A prediction value of the prediction target sample, or a finalprediction image may be acquired on the basis of at least one among afirst prediction image and a second prediction image. For example, thefirst prediction image or the second prediction image may be determinedas a prediction value of the prediction target sample. Alternatively, aprediction value of the prediction target sample may be determined onthe basis of a weighted sum operation or an average operation of thefirst prediction image and the second prediction image. Equation 17represents an example of calculating a prediction value of theprediction target sample on the basis of a weighted sum operation of thefirst prediction image and the second prediction image.

$\begin{matrix}{\text{P}( {x,y} ) = \text{w}( \text{x,y} ) \times P_{3}( {x,y} ) + ( {1 - \text{w}( {x,y} )} ) \times P_{2}( {x,y} )} & \text{­­­[Equation 17]}\end{matrix}$

In Equation 17 above, P (x, y) denotes a prediction value of theprediction target sample at a position (x, y) . In addition, P₁(x, y)denotes a first prediction image, and P₂(x, y) denotes a secondprediction image. In addition, w(x, y) denotes a weight applied to thefirst prediction image.

A weight applied to the first prediction image and the second predictionimage may be determined on the basis of at least one among the positionof the prediction target sample, the size, the shape, and the intraprediction mode of the current block. Equation 18 represents an exampleof determining a weight on the basis of the size of the current blockand the position of the prediction target sample.

$\begin{matrix}{\text{P}( {x,y} ) = \frac{( {( {W + H} ) - ( {x + y} )} ) \times P_{1}( {x,y} ) + ( {x + y} ) \times P_{2}( {x,y} )}{W + H}} & \text{­­­[Equation 18]}\end{matrix}$

In Equation 18 above, W and H denote the width and the height of thecurrent block, respectively, and (x, y) denote the coordinates of theprediction target sample.

According to the example shown in Equation 18 above, as the predictiontarget sample is closer to the top left corner of the current block, theweight applied to the first prediction image increases and the weightapplied to the second prediction image decreases. Conversely, as theprediction target sample is closer to the bottom right corner of thecurrent block, the weight applied to the second prediction imageincreases and the weight applied to the first prediction imagedecreases.

Alternatively, a weight may be derived from neighboring blocks of thecurrent block. Herein, the neighboring blocks of the current block mayinclude at least one among a top neighboring block, a left neighboringblock, and a neighboring block adjacent to the corner of the currentblock (for example, a top left neighboring block, a top rightneighboring block, or a bottom left neighboring block).

Alternatively, information for determining a weight may be signaledthrough a bitstream. The information may indicate a weight value appliedto the first prediction image or the second prediction image, or mayindicate a weight difference value between the current block and theneighboring block.

As in the above-described example, a method of acquiring a predictionvalue of the prediction target sample through a weighted sum operationor an average operation between the first prediction image and thesecond prediction image may be referred to as bi-directional intraprediction (bi-intra prediction).

The bi-directional intra prediction may be applied only to a partialregion within the current block. The region in which the bi-directionalintra prediction is applied may be predefined in the encoder and thedecoder. For example, the bi-directional intra prediction may be appliedto a predetermined-size (for example, 4x4) block adjacent to the bottomright corner within the current block.

Alternatively, the region in which the bi-directional intra predictionis applied may be determined on the basis of at least one among thesize, the shape, and the intra prediction mode of the current block.

Alternatively, information (for example, information indicating the sizeor position of the region) for determining the region in which thebi-directional intra prediction is applied may be signaled through abitstream.

Alternatively, the bi-directional intra prediction may be applied to theprediction target sample of which the x coordinate, the y coordinate,the sum of the x coordinate and the y coordinate, or the differencebetween the x coordinate and the y coordinate is equal to or greaterthan a predefined value.

FIGS. 20A and 20B are diagrams illustrating an example of a region inwhich bi-directional intra prediction is applied.

As in the example shown in FIG. 20A, a region in which bi-directionalintra prediction is applied may be in a quadrangular shape.Alternatively, as in the example shown in FIG. 20B, a region in whichbi-directional intra prediction is applied may be in a triangular shape.

A prediction value of the prediction target sample included in theregion in which bi-directional intra prediction is applied may beacquired on the basis of a weighted sum operation or an averageoperation of the first prediction image and the second prediction image.Conversely, a prediction value of the prediction target sample includedin a region in which bi-directional intra prediction is not applied maybe determined as the first prediction image or the second predictionimage. Whether to set the prediction value of the prediction targetsample included in the region in which bi-directional intra predictionis not applied, as the first prediction image or as the secondprediction image may be determined on the basis of the size, the shape,or the intra prediction mode of the current block. Alternatively,information for selecting the first prediction image or the secondprediction image may be signaled through a bitstream.

In the above-described embodiments, it is descried that multiplereference sample lines are used to perform bi-directional intraprediction. Differently from the described embodiments, it is possiblethat bi-directional intra prediction is performed using one referencesample line. Specifically, bi-directional intra prediction may beperformed using multiple reference samples included in a first referencesample line, or bi-directional intra prediction may be performed usingmultiple reference samples included in a second reference sample line.For example, when the intra prediction mode of the current block is atop right diagonal direction or a bottom left diagonal direction, afirst prediction image is derived on the basis of the top referencesample among the reference samples included in the first referencesample line, and a second prediction image is derived on the basis ofthe left reference sample. Alternatively, a first prediction image maybe derived on the basis of the right reference sample among thereference samples included in the second reference sample line, and asecond prediction image may be derived on the basis of the bottomreference sample. Afterward, a prediction value of the prediction targetsample may be acquired on the basis of a weighted sum operation or anaverage operation of a first reference image and a second referenceimage.

The bi-directional intra prediction may be defined as an independentintra prediction mode. For example, by defining N directional predictionmodes and N bi-directional intra prediction modes corresponding to the Ndirectional prediction modes, a total of 2N+2 intra prediction modes maybe defined. For example, by adding bi-directional intra prediction modesto the intra prediction modes shown in FIG. 8 , a total of 68 intraprediction modes (that is, two non-directional intra prediction modes,33 directional intra prediction modes, and 33 bi-directional intraprediction modes) may be defined. It is possible that a larger number ora smaller number of directional intra prediction modes or bi-directionalintra prediction modes than 33 are used.

Alternatively, after determining the intra prediction mode of thecurrent block, it may be determined whether to convert the determinedintra prediction mode to the bi-directional prediction mode for use. Forexample, when the intra prediction mode of the current block isdetermined, information on whether to use the determined intraprediction mode as the bi-directional intra prediction mode is decoded.The information may be a one-bit flag (for example, bi_intra_flag), butno limitation thereto is imposed. The bi_intra _flag value of zeroindicates that uni-directional intra prediction is performed. Thebi_intra _flag value of one indicates that bi-directional intraprediction is performed. When the bi_intra _flag value is zero, aprediction value of the prediction target sample is determined using thefirst prediction image. Conversely, when the bi_intra _flag value isone, a prediction value of the prediction target sample is acquired onthe basis of a weighted sum operation or an average operation of thefirst prediction image and the second prediction image.

Alternatively, depending on whether the neighboring block adjacent tothe current block uses a bi-directional intra prediction mode, it may bedetermined whether the current block uses a bi-directional intraprediction mode. For example, when the intra prediction mode of thecurrent block is the same as the candidate (that is, an MPM candidate)derived on the basis of the intra prediction mode of the neighboringblock, whether the current block uses a bi-directional intra predictionmode is determined in the same manner as whether the neighboring blockuses a bi-directional intra prediction mode.

Alternatively, whether bi-directional intra prediction is performed maybe determined on the basis of the size and/or the shape of the currentblock. For example, it may be set that only in a 32x32-size block orlarger, bi-directional intra prediction is allowed. Accordingly, whenthe size of the current block is smaller than a 32x32 size,bi-directional intra prediction is not applied. Conversely, when thesize of the current block is equal to or greater than a 32x32 size,bi-directional intra prediction is applied.

As another example, bi-directional intra prediction may be allowed onlyfor a square block, or bi-directional intra prediction may be allowedonly for a non-square block.

Alternatively, bi-directional intra prediction may be applied only forsome directional intra prediction modes. For example, FIG. 21 is adiagram illustrating an example of a directional prediction modeindicated distinguishably in which bi-directional intra prediction isallowed. As in the example shown in FIG. 21 , it may be set thatbi-directional intra prediction is allowed only for some intraprediction modes between the horizontal direction and the verticaldirection. Herein, when the intra prediction mode within the range isselected, bi-directional intra prediction is performed as default. Whenthe intra prediction mode within the range is selected, whether toperform the bi-directional intra prediction mode is determined on thebasis of at least one among information parsed through a bitstream, thesize, and the shape of the current block.

The intra prediction modes in which bi-directional intra prediction isallowed are not limited to the example shown in FIG. 21 . The intraprediction modes in which bi-directional intra prediction is allowed maybe predefined in the encoder and the decoder. Alternatively, an intraprediction mode in which bi-directional intra prediction is allowed maybe determined according to the size and/or the shape of the currentblock. Alternatively, information for determining an intra predictionmode in which bi-directional intra prediction is allowed may be signaledthrough a bitstream.

At least one of multiple reference sample lines may be selected, andintra prediction may be performed using the selected reference sampleline. The selection may be based on at least one among the position ofthe prediction target sample, the intra prediction mode of the currentblock, the size/shape of the current block, a partition type, scanningorder, and flag information. For example, at least one of multiplereference sample lines may be selected on the basis of at least oneamong whether the intra prediction mode of the current block isdirectional, whether an index of the intra prediction mode of thecurrent block is equal to or greater/smaller than a predefined value,whether the index of the intra prediction mode of the current block isincluded in a predefined range, and whether a difference value betweenthe intra prediction mode of the current block and a predefined intraprediction mode is equal to or greater/smaller than a predefined value.

Alternatively, a reference sample line may be determined for each regionor each prediction target sample.

For example, intra prediction of a prediction target sample included ina first region may be performed using a first reference sample line.Conversely, intra prediction of a prediction target sample included in asecond region may be performed using a second reference sample line.

For example, the prediction target sample of which the x-coordinatevalue and the y-coordinate value are equal to or smaller than apredefined value may be subjected to intra prediction on the basis ofthe first reference sample line. Conversely, the prediction targetsample of which at least one among the x-coordinate value and they-coordinate value is greater than the predefined value may be subjectedto intra prediction on the basis of the second reference sample line.

FIG. 22 is a diagram illustrating an example in which a reference sampleline is determined according to a position of a prediction targetsample.

As in the example shown in FIG. 22 , intra prediction for the predictiontarget sample at the position P(1, 0) may be performed on the basis of areference sample included in a first reference sample line. Conversely,intra prediction for the prediction target sample at the positionP(3, 1) may be performed on the basis of a reference sample included ina second reference sample line.

A reference sample line may be selected on the basis of the distancebetween the prediction target sample and the reference sample. Forexample, a distance (hereinafter, referred to as a first referencedistance) between the prediction target sample and the first referencesample line may be compared with a distance (hereinafter, referred to asa second reference distance) between the prediction target sample andthe second reference sample line, and the reference sample line having ashorter distance to the prediction target sample may be selected. Thatis, when a first reference sample distance is shorter than a secondreference sample distance, intra prediction is performed using a firstreference sample. When the second reference sample distance is shorterthan the first reference sample distance, intra prediction is performedusing a second reference sample.

The position of the reference sample used to calculate the distance tothe prediction target sample may be determined on the basis of the intraprediction mode of the current block. For example, the reference samplemay be a reference sample placed at a position where the virtual angularline extending from the prediction target sample passes, or may be areference sample adjacent to the position. Alternatively, the referencesample may be a reference sample that has the same x coordinate as theprediction target sample, or that has the same y coordinate as theprediction target sample. Alternatively, a position of either a firstreference sample or a second reference sample may be determined on thebasis of the intra prediction mode of the current block, and a positionof the other reference sample may be determined on the basis of a valuepredefined in the encoder/decoder, or the x-coordinate value ory-coordinate value the same as that of the prediction target sample.

Alternatively, the distance to the prediction target sample may becalculated using a reference sample at a predefined position. Thepredefined position may include at least one among the top leftreference sample, the top right reference sample, the bottom leftreference sample, and the bottom right reference sample.

Equation 19 shows an example of calculating a distance between theprediction target sample and the reference sample.

$\begin{matrix}{d( {x,y} ) = | {P( {x,y} )\text{-}ref( {x_{0},y_{0}} )} |} & \text{­­­[Equation 19]}\end{matrix}$

In Equation 19 above, d(x, y) denotes a distance between a predictiontarget sample P(x, y) and a reference sample ref (x₀, y₀). As in theexample shown in Equation 19, a sample distance d(x, y) may be definedusing the sum of an absolute value of an x-coordinate difference betweentwo samples and an absolute value of a y-coordinate difference betweenthe two samples.

The numbers of reference sample lines selected for the respectiveregions or prediction target samples may vary.

For example, for the prediction target sample included in a firstregion, intra prediction may be performed using one reference sampleline (for example, a first reference sample line or a second referencesample line). Conversely, for the prediction target sample included in asecond region, intra prediction may be performed using two referencesample lines (for example, a first reference sample line and a secondreference sample line).

For example, intra prediction for the prediction target sample of whichthe x-coordinate value and the y-coordinate value are equal to orsmaller than a predefined value may be performed using the firstreference sample line. Conversely, intra prediction for the predictiontarget sample of which at least one among the x-coordinate value and they-coordinate value is greater than a predefined value may be performedusing the first reference sample line and the second reference sampleline.

For example, intra prediction for the prediction target sample of whichthe x-coordinate value and the y-coordinate value are smaller than apredefined value may be performed using the first reference sample line.Intra prediction for the prediction target sample of which at least oneamong the x-coordinate value and the y-coordinate value is greater thana predefined value may be performed using the second reference sampleline. Intra prediction for the prediction target sample of which thex-coordinate value and the y-coordinate value are the same may beperformed using the first reference sample line and the second referencesample line.

Alternatively, by comparing the first reference sample distance and thesecond reference sample distance, whether to select multiple referencesample lines may be determined. For example, when the first referencesample distance is shorter than the second reference sample distance,intra prediction of the prediction target sample is performed using thefirst reference sample line. When the second reference sample distanceis shorter than the first reference sample distance, intra prediction ofthe prediction target sample is performed using the first referencesample line and the second reference sample line.

When intra prediction is performed using multiple reference samplelines, a prediction value of the prediction target sample is acquired onthe basis of a weighted sum operation or an average operation ofmultiple reference samples. An index of a reference sample lineincluding at least one of multiple reference samples may be differentfrom an index of a reference sample line including another referencesample.

A weight applied to each of the reference samples may be predefined inthe encoder/decoder. Alternatively, a weight may be determined on thebasis of the distance to the prediction target sample. Alternatively,information for determining a weight may be signaled through abitstream. The information may be an index indicating any one ofmultiple weights.

FIG. 23 is a diagram illustrating an example in which the number ofreference sample lines is determined according to a position of aprediction target sample.

As in the example shown in FIG. 23 , intra prediction for the predictiontarget sample at a position P(1, 0) may be performed using a firstreference sample line. Conversely, intra prediction for the predictiontarget sample at a position P(3, 1) may be performed using a firstreference sample line and a second reference sample line.

Alternatively, when intra prediction of the current block is in theintra prediction mode in a top-right direction, the distance between theposition P(3, 1) of the prediction target sample and the first referencesample P(7, -1) positioned at the top right from the prediction targetsample, and a distance between the position P(3, 1) of the predictiontarget sample and the second reference sample P(5, 2) positioned at thetop right from the prediction target sample are calculated. Only a firstreference sample P(2, -1) is present at the top right of the predictiontarget sample at the position P (1, 0) . Accordingly, a prediction valueof the prediction target sample may be acquired on the basis of thefirst reference sample. A first reference sample P (7, -1) and a secondreference sample P(5, 2) are present at the top right of the predictiontarget sample at the position P(3, 1). Herein, a second referencedistance is shorter than a first reference distance, so that aprediction value of the prediction target sample is acquired on thebasis of a weighted sum operation or an average operation between thefirst reference sample and the second reference sample.

Equation 20 represents an example of calculating a prediction value ofthe prediction target sample on the basis of a weighted sum operation ofthe first reference sample and the second reference sample.

$\begin{matrix}{P( {x,y} ) = w*Ref\_ 1st( {x,y} ) + ( {1\text{-}w} )*Ref\_ 2nd( {x,y} )} & \text{­­­[Equation 20]}\end{matrix}$

In Equation 20 above, P(x, y) denotes a prediction value for theprediction target sample at the position (x, y). A first referencesample for the prediction target sample is denoted by Ref_1st (x, y). Asecond reference sample for the prediction target sample is denoted byRef_2nd(x, y). The weight applied to the first reference sample isdenoted by w. The weight applied to the second reference sample isdenoted by (1-w) .

Multiple reference samples may be determined on the basis of the intraprediction mode of the current block. For example, a first referencesample and a second reference sample may be determined on the basis of avirtual angular line extending from the prediction target sample.

Alternatively, at least one of multiple reference samples may have afixed position predetermined in the encoder/decoder. The fixed positionmay include at least one among a top left reference sample P(-1, -1), atop right reference sample P(W, -1), a bottom left reference sampleP(-1, H), and a bottom right reference sample P(W, H).

Alternatively, at least one of multiple reference samples may be placedon the same vertical line or horizontal line as the prediction targetsample. For example, a prediction value may be calculated using areference sample that has the same x coordinate as the prediction targetsample, or a reference sample that has the same y coordinate as theprediction target sample.

The bi-directional intra prediction method or the method of settingdifferent reference sample lines/numbers of reference sample lines forthe respective regions/prediction target samples described above may beperformed only when the intra prediction mode of the current block is apredefined intra prediction mode. The predefined intra prediction modemay be a directional intra prediction mode or a directional intraprediction mode having a predefined index value.

The application of the embodiments described focusing on the decodeprocess or encoding process to the encoding process or decoding processis included in the scope of the present invention. The change of theembodiments described in a predetermined order into a different order isalso included in the scope of the present invention.

Although the above-described embodiments are described based on a seriesof steps or flowcharts, this does not limit the time-series order of theinvention and may be performed simultaneously or in a different order asnecessary. In addition, in the above-described embodiment, eachcomponent (e.g., a unit, a module, or the like.) constituting the blockdiagram may be implemented as a hardware device or software, and aplurality of components may be combined to be implemented as onehardware device or software. The above-described embodiments may beimplemented in the form of program instructions that may be executed byvarious computer components, and may be recorded in a computer-readablerecording medium. The computer-readable recording medium may include aprogram instruction, a data file, a data structure, etc. alone or incombination. Examples of computer-readable recording media includemagnetic media such as a hard disk, a floppy disk and a magnetic tape,an optical recording media such as a CD-ROM, a DVD, and amagneto-optical media such as a floptical disk, and hardware devicesspecifically configured to store and execute a program instruction, suchas a ROM, a RAM, a flash memory, and the like. The hardware device maybe configured to operate as one or more software modules to perform theprocess according to the invention, and vice versa.

INDUSTRIAL APPLICABILITY

The present invention can be applied to an electronic device capable ofencoding/decoding an image.

1-15. (canceled)
 16. A method of decoding an image, comprising:determining a reference sample line of a current block in the imagebased on first information signaled from a bitstream, the firstinformation specifying one of a plurality of reference sample linespre-defined in a decoding apparatus; determining an intra predictionmode of the current block based on the first information for the currentblock; and performing intra prediction on the current block based onreference samples in the reference sample line and the intra predictionmode.
 17. The method of claim 16, wherein determining the intraprediction mode of the current block comprises: obtaining, based on thefirst information, second information of the current block from thebitstream, the second information indicating whether a candidate listincludes a same MPM candidate as the intra prediction mode of thecurrent block; obtaining, based on the second information, an MPMcandidate index of the current block from the bitstream, the MPMcandidate index specifying one of a plurality of MPM candidatesbelonging to the candidate list; and determining the intra predictionmode of the current block based on the MPM candidate index.
 18. Themethod of claim 17, wherein, in responses to the first information beinggreater than or equal to a pre-defined value, the intra prediction modeof the current block is determined based on the candidate list and theMPM candidate index obtained from the bitstream without obtaining thesecond information of the current block from the bitstream.
 19. Themethod of claim 18, wherein the candidate list is constrained not toinclude a non-directional mode, and wherein the non-directional modeincludes at least one of a DC mode or a Planar mode.
 20. The method ofclaim 17, wherein, in response to the first information being greaterthan or equal to a pre-defined value, a non-directional mode is notavailable as the intra prediction mode of the current block, and whereinthe non-directional mode includes at least one of a DC mode or a Planarmode.
 21. The method of claim 17, wherein, in response to the intraprediction of the current block being performed in units of sub-blocks,the intra prediction of the current block is performed using only areference sample line with an index equal to
 0. 22. The method of claim16, wherein a number of reference sample line candidates available forthe current block among the plurality of reference sample lines isadaptively determined based on whether a boundary of the current blockis located on a boundary of a coding tree unit.
 23. The method of claim22, wherein, in response to the boundary of the current block beinglocated on the boundary of the coding tree unit, only one referencesample line candidate is available for the current block, and wherein,in response to the boundary of the current block being not located onthe boundary of the coding tree unit, three reference sample linecandidates are available for the current block.
 24. The method of claim23, wherein one of the three reference sample line candidates isrepresentative of a neighboring reference sample line to the currentblock, and the other two of the three reference sample line candidatesare representative of non-neighboring reference sample lines to thecurrent block.
 25. A method of encoding an image, comprising:determining a reference sample line of a current block in the image toencode first information into a bitstream, the first informationspecifying one of a plurality of reference sample lines pre-defined inan encoding apparatus; determining an intra prediction mode of thecurrent block based on the first information for the current block; andencoding a residual block of the current block, the residual block beinga difference between an original block of the current block and aprediction block of the current block, the prediction block beingobtained by performing intra prediction on the current block based onreference samples in the reference sample line and the intra predictionmode.
 26. A non- transitory computer readable medium for a bitstreamgenerated by an image encoding method, the image encoding methodcomprising: determining a reference sample line of a current block inthe image to encode first information into a bitstream, the firstinformation specifying one of a plurality of reference sample linespre-defined in an encoding apparatus; determining an intra predictionmode of the current block based on the first information for the currentblock; and encoding a residual block of the current block, the residualblock being a difference between an original block of the current blockand a prediction block of the current block, the prediction block beingobtained by performing intra prediction on the current block based onreference samples in the reference sample line and the intra predictionmode.